mashup_spatial_snowGW.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Waterhackweek 2020 Project - SnowGW: basin water budget components\n",
    "\n",
    "Based off of original code by [Emilio Mayorga](https://github.com/emiliom), University of Washington &mdash; [WaterHackWeek 2020](https://waterhackweek.github.io/). See Emilio's original script [mashup_waterbudget.ipynb](https://github.com/waterhackweek/waterdata/blob/master/mashup_waterbudget.ipynb) for helpful information on data sources, packages, and functions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Goal\n",
    "\n",
    "* Construct time series visualizations at daily and/or monthly timescales that show water budget components for basins with snow-groundwater dynamics of interest. (Interim)\n",
    "\n",
    "## Objective\n",
    "\n",
    "**Construct and analyze (sub)watershed-scale water budget components for the two example watersheds using geospatial watershed layers and a wide variety of water data, including:**\n",
    "\n",
    "* HUC8 basin boundaries (and associated HUC10 and HUC12 sub-basins)\n",
    "* Daymet precipitation and SWE (gridded, daily)\n",
    "* MODIS SSEBop evapotranspiration (gridded, monthly)\n",
    "* GRACE water storage anomalies (gridded, monthly)\n",
    "* USGS NWIS discharge (point, daily)\n",
    "* USGS groundwater level measurements (point, daily)\n",
    "* SNOTEL SWE (point, daily)\n",
    "\n",
    "## Cases\n",
    "\n",
    "### ONLY works for OR case right now!\n",
    "                                                  \n",
    "**Clackamas, OR**\n",
    "* HUC-8 Subbasin ID 17090011\n",
    "* size 2442 km^2\n",
    "* slope 24.2%\n",
    "* Total stream length (km) 1810.4 km\n",
    "* Land cover: evergreen forest (73%), shrub/scrub (10%)\n",
    "\n",
    "**Upper South Platte, CO**\n",
    "* HUC-8 Subbasin ID 10190002 \n",
    "* size: 4,797 km²\n",
    "* slope: 22.3%\n",
    "* Total stream length (km) 2812.4 km\n",
    "* Land cover: evergreen forest (50%), shrub/ scrub: 18%, grassland: 15%"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------\n",
    "\n",
    "<div class=\"alert alert-success\" style=\"font-size:100%\">\n",
    "<b style=\"font-size:120%\">Setup</b></br>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import contextily as cx\n",
    "import folium\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from pyproj import CRS\n",
    "import xarray as xr\n",
    "import rioxarray\n",
    "import regionmask as rm\n",
    "\n",
    "from shapely.geometry import box\n",
    "import pynhd as nhd\n",
    "import pygeoogc as geoogc\n",
    "import pygeoutils as geoutils\n",
    "import hydrodata as hd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set the time period\n",
    "\n",
    "To be reused with every dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "date_start = '2008-01-01'\n",
    "date_end = '2018-12-31'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Select basin\n",
    "\n",
    "Select one of the case study basins' HUC8 codes (OR: `17090011`; CO: `10190002`)\n",
    "\n",
    "We'll use the shorthand \"sb\" to refer to the \"selected basin\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sb_huc08code = '10190002'\n",
    "\n",
    "sb_huc08code = '17090011'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------\n",
    "\n",
    "<div class=\"alert alert-success\" style=\"font-size:100%\">\n",
    "<b style=\"font-size:120%\">Format basin</b></br>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create HUC10 subwatersheds by first reading HUC12 subwatersheds\n",
    "\n",
    "Request all HUC12 watersheds whose HUC12 code includes the sb code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def wfs_getfeatures_cqlfilter(wd, cql_filter=None):\n",
    "    \"\"\"\n",
    "    Use hydrodata packages to issue and process a OpenGeospatial Consortium (OGC) Web Feature Service (WFS) \n",
    "    request for WBD watersheds, with an optional filter to obtain only the watersheds we want.\n",
    "    Returns a nice and clean GeoPandas GeoDataframe in \"lat-lon\" projection (epsg:4326)\n",
    "    \"\"\"\n",
    "    payload = {\n",
    "        \"service\": \"wfs\",\n",
    "        \"request\": \"GetFeature\",\n",
    "        \"version\": wd.version,\n",
    "        \"outputFormat\": wd.outformat,\n",
    "        \"typeName\": wd.layer,\n",
    "    }\n",
    "    if type(cql_filter) is str:\n",
    "        payload[\"cql_filter\"] = cql_filter\n",
    "\n",
    "    r = geoogc.RetrySession().get(wd.url, payload)\n",
    "    \n",
    "    return geoutils.json2geodf(r.json(), \"epsg:4326\", crs=\"epsg:4326\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_wdhuc12 = nhd.WaterData('huc12', crs='epsg:4269')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['huc12', 'tohuc', 'areaacres', 'areasqkm', 'name', 'hutype', 'humod', 'states', 'noncontrib', 'bbox']\n"
     ]
    }
   ],
   "source": [
    "print(sb_wdhuc12.get_validnames())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>huc12</th>\n",
       "      <th>tohuc</th>\n",
       "      <th>areaacres</th>\n",
       "      <th>areasqkm</th>\n",
       "      <th>name</th>\n",
       "      <th>hutype</th>\n",
       "      <th>humod</th>\n",
       "      <th>states</th>\n",
       "      <th>noncontrib</th>\n",
       "      <th>bbox</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MULTIPOLYGON (((-122.11810 44.87790, -122.1171...</td>\n",
       "      <td>170900110101</td>\n",
       "      <td>170900110103</td>\n",
       "      <td>10218.364276</td>\n",
       "      <td>41.352253</td>\n",
       "      <td>Upper Hot Springs Fork Collawash River</td>\n",
       "      <td>S</td>\n",
       "      <td>NM</td>\n",
       "      <td>OR</td>\n",
       "      <td>0</td>\n",
       "      <td>[-122.2082, 44.8645, -122.1162, 44.9536]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MULTIPOLYGON (((-121.81240 44.81170, -121.8163...</td>\n",
       "      <td>170900110201</td>\n",
       "      <td>170900110203</td>\n",
       "      <td>14882.940694</td>\n",
       "      <td>60.229124</td>\n",
       "      <td>Cub Creek</td>\n",
       "      <td>S</td>\n",
       "      <td>NM</td>\n",
       "      <td>OR</td>\n",
       "      <td>0</td>\n",
       "      <td>[-121.956, 44.8004, -121.8123, 44.9064]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "                                            geometry         huc12  \\\n",
       "0  MULTIPOLYGON (((-122.11810 44.87790, -122.1171...  170900110101   \n",
       "1  MULTIPOLYGON (((-121.81240 44.81170, -121.8163...  170900110201   \n",
       "\n",
       "          tohuc     areaacres   areasqkm  \\\n",
       "0  170900110103  10218.364276  41.352253   \n",
       "1  170900110203  14882.940694  60.229124   \n",
       "\n",
       "                                     name hutype humod states  noncontrib  \\\n",
       "0  Upper Hot Springs Fork Collawash River      S    NM     OR           0   \n",
       "1                               Cub Creek      S    NM     OR           0   \n",
       "\n",
       "                                       bbox  \n",
       "0  [-122.2082, 44.8645, -122.1162, 44.9536]  \n",
       "1   [-121.956, 44.8004, -121.8123, 44.9064]  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# HUC filter (cql_filter) will be the string \"huc12 LIKE '17030001%'\"\n",
    "sb_huc12_gdf = wfs_getfeatures_cqlfilter(\n",
    "    sb_wdhuc12, \n",
    "    cql_filter=f\"huc12 LIKE '{sb_huc08code}%'\"\n",
    ")\n",
    "\n",
    "sb_huc12_gdf.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create `huc10` column from `huc12` codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb_huc12_gdf['huc10'] = sb_huc12_gdf.huc12.str[:-2]\n",
    "cols = ['huc10', 'areasqkm', 'geometry']\n",
    "sb_huc10_gdf = sb_huc12_gdf[cols].dissolve(by='huc10', aggfunc='sum', as_index=False)\n",
    "\n",
    "len(sb_huc10_gdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>1709001101</td>\n",
       "      <td>POLYGON ((-122.01470 44.84950, -122.01990 44.8...</td>\n",
       "      <td>394.544996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1709001102</td>\n",
       "      <td>POLYGON ((-121.81240 44.81170, -121.81630 44.8...</td>\n",
       "      <td>408.515994</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "        huc10                                           geometry    areasqkm\n",
       "0  1709001101  POLYGON ((-122.01470 44.84950, -122.01990 44.8...  394.544996\n",
       "1  1709001102  POLYGON ((-121.81240 44.81170, -121.81630 44.8...  408.515994"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "sb_huc10_gdf.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `total_bounds` GeoDataFrame function to extract the outer bounding box coordinates, then create a simple GeoSeries out of that rectangle for reuse later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-122.6089,   44.8004, -121.6515,   45.4562])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb_huc10_gdf.total_bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_bbox = gpd.GeoSeries(box(*sb_huc10_gdf.total_bounds), crs=sb_huc10_gdf.crs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set `xarray` spatial (lat & lon) \"slices\" here, for reuse below when doing lat-lon region clipping (via the `.sel` method) of `xarray` datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_lon_slice = slice(sb_bbox.bounds.minx[0], sb_bbox.bounds.maxx[0])\n",
    "sb_lat_slice = slice(sb_bbox.bounds.miny[0], sb_bbox.bounds.maxy[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot HUC8 basin + HUC10 sub-basins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note: There are other basemap tiles besides StamenTerrain\n",
    "m = folium.Map(tiles='StamenTerrain', attr='ESRI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Bounding box\n",
    "folium.GeoJson(\n",
    "    sb_bbox.geometry,\n",
    "    style_function=lambda feature: {'color': 'red', 'fillOpacity': 0.0}\n",
    ").add_to(m)\n",
    "\n",
    "# Set the map extent (bounds) to the extent of the bounding box\n",
    "m.fit_bounds(m.get_bounds())\n",
    "\n",
    "# HUC10 sub-watershed polygons\n",
    "for i, i_gdf in sb_huc10_gdf.iterrows():\n",
    "    folium.GeoJson(\n",
    "        i_gdf.geometry,\n",
    "        style_function=lambda feature: {'color': 'black', 'fillOpacity': 0.0},\n",
    "        tooltip=i_gdf['huc10']\n",
    "    ).add_child(\n",
    "        folium.Popup(f\"<b>HUC10:</b><br> {i_gdf['huc10']}<br><b>watershed area:</b><br> {i_gdf['areasqkm']:.0f} km^2\")\n",
    "    ).add_to(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f15f5ec2278>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------\n",
    "\n",
    "<div class=\"alert alert-success\" style=\"font-size:100%\">\n",
    "<b style=\"font-size:120%\">Read data, and extract over selection (time and basin) </b></br>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Precipitation and SWE from DayMet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get metadata (\"lazy loading\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "daymet_opendap_url = \"https://thredds.daac.ornl.gov/thredds-daymet/dodsC/daymet-v3-agg/na.ncml\"\n",
    "    \n",
    "daymet_ds = xr.open_dataset(daymet_opendap_url)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the selected basin bounding box in the DayMet projection coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "daymet_ds_grid_mapping_name = 'lambert_conformal_conic'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# DayMet crs information is in: ds.lambert_conformal_conic ('lcc')\n",
    "lcc_crs = CRS.from_cf(daymet_ds[daymet_ds_grid_mapping_name].attrs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reproject our bounding box polygon into this new coordinate system, to use in our request\n",
    "sb_bbox_lcc = sb_bbox.to_crs(lcc_crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_lcc_bnd = sb_bbox_lcc.bounds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the DayMet data for the selected XYT \"cube\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_daymet_da = daymet_ds.sel(\n",
    "    time=slice(date_start, date_end),\n",
    "    x=slice(sb_lcc_bnd.minx[0], sb_lcc_bnd.maxx[0]),\n",
    "    y=slice(sb_lcc_bnd.maxy[0], sb_lcc_bnd.miny[0]) # note the reversed y values!\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select precipitation and SWE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_daymet_da_prcp = sb_daymet_da.prcp\n",
    "sb_daymet_da_swe = sb_daymet_da.swe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reproject to lat-lon (to use with other data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reproject_da_as_ds(da, from_grid_mapping_name, from_crs, to_crs):\n",
    "    \"\"\"\n",
    "    Reproject an xarray DataArray using rioxarray and the expectation of CF convention \n",
    "    for projection information.\n",
    "    This function is fairly generic and can be reused with other datasets with only small changes.\n",
    "    Returns an xarray DataSet with the expected, CF-convention projection information.\n",
    "    \"\"\"\n",
    "    ds = da.to_dataset()\n",
    "    # Use rioxarray to improve (clean up) the CRS metadata, \n",
    "    # so it can be used in the reprojection step\n",
    "    ds.rio.write_crs(from_crs.to_string(), inplace=True)\n",
    "    \n",
    "    # Reproject the xarray dataset\n",
    "    # Note: the drop_vars step could be done outside this function, since it's source-data cleanup\n",
    "    reproj_ds = (\n",
    "        ds\n",
    "        .drop_vars(['lon', 'lat'])\n",
    "        .rio.reproject(to_crs)\n",
    "    )\n",
    "    \n",
    "    # Clean up the projection information and coordinates of the reprojected dataset\n",
    "    to_grid_mapping_name = reproj_ds[from_grid_mapping_name].attrs['grid_mapping_name']\n",
    "    reproj_ds = (\n",
    "        reproj_ds\n",
    "        .rio.set_spatial_dims('x', 'y')\n",
    "        .rio.write_crs(to_crs)\n",
    "        .rename({\"x\": \"lon\", \"y\": \"lat\", from_grid_mapping_name: to_grid_mapping_name}) \n",
    "        # this last step applies only when reprojecting to lat-lon\n",
    "    )\n",
    "    reproj_ds.attrs['grid_mapping'] = to_grid_mapping_name\n",
    "    reproj_ds[da.name].attrs['grid_mapping'] = to_grid_mapping_name\n",
    "    \n",
    "    return reproj_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_daymet_ds_prcp = reproject_da_as_ds(sb_daymet_da_prcp, daymet_ds_grid_mapping_name, lcc_crs, \"epsg:4326\")\n",
    "sb_daymet_ds_swe = reproject_da_as_ds(sb_daymet_da_swe, daymet_ds_grid_mapping_name, lcc_crs, \"epsg:4326\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quick check on the resulting cell sizes, in degrees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_cellsizes(dimcoord):\n",
    "    print(dimcoord.values[1] - dimcoord.values[0], dimcoord.values[-1] - dimcoord.values[-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.012512596453134961 0.012512596453134961\n",
      "0.012512596453134961 0.012512596453134961\n"
     ]
    }
   ],
   "source": [
    "print_cellsizes(sb_daymet_ds_prcp.lon)\n",
    "print_cellsizes(sb_daymet_ds_swe.lon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.012512596453142066 -0.012512596453142066\n",
      "-0.012512596453142066 -0.012512596453142066\n"
     ]
    }
   ],
   "source": [
    "print_cellsizes(sb_daymet_ds_prcp.lat)\n",
    "print_cellsizes(sb_daymet_ds_swe.lat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clip to basin polygon boundary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_daymet_ds_prcp = sb_daymet_ds_prcp.rio.clip(sb_huc10_gdf.geometry, all_touched=True)\n",
    "sb_daymet_ds_swe = sb_daymet_ds_swe.rio.clip(sb_huc10_gdf.geometry, all_touched=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Look (\"5th time step from the end\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(7, 7))\n",
    "sb_daymet_ds_prcp.prcp.isel(time=-5).plot(ax=ax)\n",
    "sb_huc10_gdf.plot(ax=ax, edgecolor='white', facecolor='none');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(7, 7))\n",
    "sb_daymet_ds_swe.swe.isel(time=-5).plot(ax=ax)\n",
    "sb_huc10_gdf.plot(ax=ax, edgecolor='white', facecolor='none');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ETa from MODIS SSEBop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssebop_opendap_url = \"https://cida.usgs.gov/thredds/dodsC/ssebopeta/monthly\"\n",
    "\n",
    "ssebop_ds = xr.open_dataset(ssebop_opendap_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssebop_ds.rio.write_crs(CRS.from_cf(ssebop_ds['crs'].attrs), inplace=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2000-01-01T00:00:00.000000000', '2000-02-01T00:00:00.000000000',\n",
       "       '2000-03-01T00:00:00.000000000'], dtype='datetime64[ns]')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssebop_ds.time.values[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_ssebop_et_ds = ssebop_ds.sel(time=slice(date_start, date_end), lon=sb_lon_slice, lat=sb_lat_slice)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_ssebop_et_ds = sb_ssebop_et_ds.rio.clip(sb_huc10_gdf.geometry, all_touched=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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U6NTV27Z3VppMONUTVpyM4LVjz+KlFYuw5Fjxh6T4aO4+9zhcVrjvp5k4XG76dUjgtD59GJ/SHYtHUOVyYTaZSImPxWI2cc93f+CQbjCDcKljeaz1z+Dc1tpKtRpXpCZvdkEpdAyFPX6Jb2Bg0IS4G14Cqc1gKMHDIDjUysU3nsh/b/iUS2+fyAmnDub1J6ezfWMGHo+E+LAmPf+U3v1Zk5vF1K0bsPix/JDSKZb3bj+f7xau5+RRfXjhvNMZ2KUjwiT4a+dOXlm0GFeRi2CrBSklqfnF5JdXABDdRNfgdns4fnRvtu7eT3ZeaROdxcDAoD6qi+q2dwwleBi4nG4sVjPbN2bw+F1TNXd/V90ZUhqboxOTmbV3V8376JAQnjjlZBylTv7Zmord6WLKiAEkxkWxbm82p43oy1vTFzN9+RZ224ro36UD7y1cwaby3Jpj6JdDm4N3P1nAeeeP4uNnrmDD9ky++nVFs57fwMDAQI+hBA8Dt8tDYV4ZCZ2iyS4sB2i2UNML+w1mYHxHHlo4m2OTunHG2H6c2KMHf+3cyf7MUs4bO5jQICszV21j7/5ChvdM5Klv5rBwk7bu+NfWXfy11atAIw5xoiYmv7Cct79eyCc/LOWjZy7n6nPHcuLpz9fsn/9n48Y+GhgY1I2nFXt1NhaGEjwMXLFhlJTaiOnVgXSnZrezFlfV7BduNSuMTFXbo/YoR5SKrirriz1afQGDi9R5rKXK3ueIgfAgK/8ZeyIvLVnEy8dNomdcHF+uW8u03zexISeH0BzBV8vXARBUpo1bsz0D4VLuv2G6DGb2WKW69X8DIQW6PpHajuAyXfyiHwm0g4uVPVMKdR6hi6ewVEDHjiH06BrPK6/+6fM4BgYGTYsRLK9h3IHDIDomjMSkOHbvPLjaQlPikZLft27n2uEjWJ6RwelffM6na9eyIad55WhMcnNLWbxoB/994Czi4sIDLY6BgUE7xZgJHgbHTxjAiqW7qKpygrX5nh9sTheP/zUXd3DjBd+3BF566Q9+/uX/iI+LoLCwItDiGBi0KyTC8A7FUII+OT32XzVt98CUmvbjz17I/L83B0CitklpqY0F/2wnuWscO3e13lmtgUFrpTUHuTcWhhI8DBzBgsoYCxVdVayf2a4MZZYKZQ+zxyvbn95+FrbfUdN2B6ncoc5w9USmt82ZVXcckbp4wzLfMrp0hSYispU9r9rGB7VrBOoJKTrY07Uq1vcfidWmrsmj+xZ5rCo+Ul802Fqu7pPwqB22EhtdYyOxljV+hh0DAwOD+jCUYB2EhAfTY2ASmys9NTkyYyJDKa90HHqgwWHhcnkIDvYv8N/AwKDxkJJWnfOzsTCUYB088vkt9Bmewvz52/j91zXExUXQMzmBLbuyAy1amyKlRwe+/WpxoMUwMGiHCKOeIO1cCZ465omatmlnWk27/6iedO3bhVuP/x+XPXMZ/33yfGJiwrjvxV+psLWfmaC5GRJdZ2UW0jkxpsnPY2BgYOCLdq0EDyQkPJgzrz2B8249hU8f+Z7cHZm8es4zAAghMHfsoNKJxWotZ4Jy79cvLEidAqlKULdZ6hJq6hNcW/Q2NrMuvk6Xu1MfS2jWmdAcuuD34GLd9nCdHdCuju8OVse3eMsb3jB5LDeffQwHcvXDX7IjVcswU5Kijlele4IMLlH99blDPfpVzo4HL7tYTCbGjO/Le78vr2VnNTAwaHokxnIoGEoQgIjIEM65bzJTbjiJdf9s4+HJz7F3Y3qtPrIRawO2RL6bu45VW9KosDkoq6jClluFze5ENuE3ZHS/ZLJyi9mfX4eXj4GBQZNiBMu3cyUYGRXCBZcfw5nnjWDZjLXce8bzZOzKwVNRh/tkG6a00s76nVk17632plf6ucXldE6I4qj+Sazfltnk5zMwMDA4kGZ5DBBCmIUQa4UQM7zvHxdCZAoh1nlfZ/g7tjG5+a7TSOoWx21Xfcgrt39KRjuKVQsNsrL+jbsCKsPu7AL+WrSVAb06B1QOA4P2iETgkY33aq0010zwTmAroKuax6tSypcaOLZeTh33ZE3bEa1i16Qu08sPH93Efbd+QU52SbtbFJg0sl+gRQCgc8dodqerwMixV2mFgvU1GAE2PxdYhW1g0BYxlkObQQkKIboCZwJPA3c319j6SOoSgzQL9jps0CmUIGtKzT5Lfrnq6KmjVJI3WbY1X6X7KusfV9M26wLkKzuoL5q1Um13hvlOZK0vsFvVUZ0/qEh1cqs4+1rYdRXkraW+t4OkItbD9K3bsMeorRabzpkn9uAnO3u8zrkmQslVGawC4aVHV1S3XHkB6R8UQ7PVdeysKGLcCb35JXsnptT243lrYGDQMmiOx4DXgPuBA7XJ7UKIDUKIT4QQsYc5tgYhxI1CiFVCiFV5eXm19kVGhRAWHsyUM4dx43Un0KN7AqApwMmnDmXdxjRfh2yxHN0jmW2P3UV40JEHl9997LGMTe7aCFIdGe/PXU6prYof77iCoX0SAy2OgUG7QaKVUmqsV2ulSWeCQojJQK6UcrUQ4kTdrneBJ9E+hyeBl4Hr/BxbCynlB8AHAKNGjarlzfHxt7cSExvOshW72b03l5efu4Rf/ljHBVNGsH1XDlN/WH7E19icbMzMYX1GNlEhIZTajyzN2NvLl/HkxIkIAYF0fLU5Xfxn2l+cNLAXz/57Mss37aOswo4n0oRE8uWitaQXltR/IAMDg8NE4DaC5Zt8OfRYYIrX8SUEiBJCfCWlvKK6gxDiQ8CX00u9Y+vjh6nLOOu8kXz46QJ2781j/YZ0jj++H/c99gPbdu6v/wAtjAqHg4s//lZ7U8dyqL9MXb+BJydOJDYslMIK25ELd4TM3bKbncszOXVcf4SAyipJQmQ4X91yMQ9+9ydD7nkVqL1UDLDtMcNWaGBg0HCaVAlKKR8CHgLwzubulVJeIYToIqWszj92LrDJ37H+ntsVZmXqTyuxSQ83XzaeR27+nA3p61k7fwcAQUDWcSrQXbjVrajqGFbTdoeoaZKM1EWu+8LkPmjTI6NOIiEonPsXzMLurj3eVKFsZp5YNbOLjFMhGvpKe/YkCzvOf4TR01+kxKmK9vYIj8ckBLvL8msd375PjbaWqic+Z5R2Tb1efgVTiNAeMYCKcLXq7AnXrkXYfS9zhO3TRf2j2gcqqWqCilXbpJvEWtRlkEMVXy5dB6hk3usXpfLs/03m8wWr+Xz+at8HNzAwOGyql0PbO4G6Ay8IITYKITYAE4C7AIQQiUKIPxrzRPl5ZURGByYbybjO3bh+4GjO7j2Q7dcf+Ywl0qpN//QKEOC4zr2Yedot7LjgEa7vO+6Iz9OSWLstg8te/4YzhvXjuctPJ8TSrkNbDQwaFbd3SbQxXq2VZlOCUsr5UsrJ3vaVUsohUsqhUsop1bNCKWWWlPKgmEH92MNh9Oge3HTTSXz59pwjv4AGsLkwh0tnfUPKBy/S96NXjvh4ZU47o6e/eND2L3at4ITfX2dr8X4u6zXyiM/T0thfXMZVb32HxwNTr7uYDhFGJXoDA4PGoU09Vm/KyqH/Y5rtaFSXGB5/7FzefOtvVi/aGRB5Sh12luakASYcnoOXShvCgbPAarJtpZz994eNco6WiN3l5uFv/uSms47m/cvO4crPplHhcND/f6/W9DHsgwYG/iOlMJZDaWNKUE+e247JbOK3xZsx9Yyp2S6cyu4VkaXsfWVddYmfg9V2k0Ntdzt0Calj7Np+s+obGqzi3IItSunl5UfWtGWZCm+QFjU2ZJ8K6K/ar9rOWN/KMyheObM4KlX/oDAlg7m7imGsKtf1yVJtvX3OrLP/OVziIBlFvL2mbXMpzxyh8y61lKpjROgyoemTfOvRFwHWH6e0m+8/zrfmLSM+PIw3LprMzVN/wVlXHKeBgUG9GAm0A2cTbHKOG9ubHbubJg1akMnMyIRkOodqyi3SGoypFa+Jtzae/H0eNoeThyedGGhRDAwMWjltbiY4PDmR2yccTY+IaJ5/a1ajH//CfoN55OgJRAWHYHM5yasqo0NIJGXOKq5e8gFZtuJGP2dz8diZJ3HpqKMAGPr2W5Q7WmYGF4+UPPjzLObefT1vzFtKUWXgQzwMDFobEoyiurQxJdg1NpoXzz+d9xauYPGXG3C5Gm+p7Jrhw7lm1HAqXE7O+3Uq2eZcJnTpzZ7yfPaU5fPHqTczKCapVSvBtMJiNmbuZ0hSZzbcdjuXTvueZfvT6x8YAMrtDuZu38OZg/vx1Yp1gRbHwKAVIozlUNqYEgwPDuKmub+wuSCXkEEWqld7LbrKSPpCtnp7WK3YtUoT1eapEQO7cOvwscSGhHLjH9PZWlCdms3KW+dfQM+pzwAmoiyhpBU5KC/XwjFsVmXLi4pRAthCdfY+m7r9ToeysZnt6ukscoc+Hk9R0V3FMuq/xvq5m94+aApS8jgS1fawXUqer2at4atZaxACZj5yPd9ceBHfrNnAY39q3rUunQHPrAt51NtQ3aGqXThcndNcpssjatUZ/9zqWk31hGEeyNbCPJI6ROEKa9u1Hg0MDJqONqUELUJQ4rDX39HLo5dMJMRq4c8120kvK+XUoX04Y3h/osKDWZ6WQd+EeDDDJxvX8MOOTdjtvmeWQSYz0cEhJISEYxYCdysvwCslTHj7Y64bM4IHJ57AR8tWkV7c8lKXldnt9E6Ir7+jgYHBQWjB8sZyaJtSgqUOO7POuZxXVi3mp8zN9fYf3SeZvTmFXH3yKBLjo/h74y4enDqTolAHgzt34oNlq1hnz0LnH+nzOE6PmydXz+b/hhxPj8g43tu6tNGuKZB8smINP23cQpDZjEkIoGUp94LKSgZ16kio1YLNeZjTSAMDA6OUEm1MCaaVFnP1Hz/w9ZkX8dPfh1aCSXFRRIUF89AXM6moctQqTWSPhz2FRQDIuupb6JDAVzvXUO6yc+OAcXywbdkRXEXLothWxYb7/k2I1cLs3bv49++/43A3TszjkTJvz15O69uH1yefyY0//1oTM+iMqK2sd9/TqFW4DAwM2hBtSgmanII96wuxn+KmW0w06UXaEp70mqNiw0O5/NhhhFqtDEnuzNRNG8jppJZPG/Jjueeyh2vaA356imfGnEFsmBW7UHZAp0vZwyxmpUASu6glxlRXh5q2VRcz6NTF10Xt08UkFqhZqb4ArdDFADpiVNvdURk99flAK5OUPB2X6+seasd0RMDo/7zJA2edyBXHDWfbHXcCsL+sjPHvacH5kbvUuLJeSsbqWEoAT4QuxjLYtxJ1ZYb53G6uVGPFARO+R36bw5r7biXUbsFJy1DOBgatgerK8u2dNjkX/nntZl668AzG9exGYnQkZ48YyH+mTOCX/7uS6LAQcsvKmbF+G68vadxlS7eUrCvI5N1xF9E/qkujHjuQSAnPTZ/P0Htf5ZUZ/zB/8x46R0bWP7AZcLrdZBSXcP0xI4kNC0yOWAOD1ooHU6O96sNbOzZXCHFQwQQhxL1CCCmESNBte0gIsUsIsV0IcVojX3oNbWomWM3rc5ZQYXdw8wljSImPZXdOIUt27uOmT39m635VeNcV3/g2rmsXfcVtA47nhj4ncM/qbxv9+IFESvh03io+nbcKW2ft3h2dnMyWzEzcnsDZC+/95U+uGT2CWf++huV7M/hmywYWpKYGTB4DAwOffAa8BXyh3yiESAZOAdJ02wYClwCDgETgbyFEXylloy/3tEklCPDRolV8tGgVACZ93EAjz31HzvyP7l0IbimpcDkotFfUOaYt8dUlF7J3QiHnPP15wGTYvD+XB375k/CgIE4f1IfnTjuVm3+dzvr9Ws3IlM+e1zrqPvvouPKa9vrJTzanuAYGLQIpwd2My6FSyoVCiBQfu14F7gd+1W07G/hWSmkH9gohdgFjgEb3OmxTSnBQYidWPRG4JMox4TaOTujDlb1Hcu8/sygp1Ax6YVEqo0llrqqAkKprRyeW1rRLLco2Zk3TJdesg67z1A96ebIaW9JT/eoHFaucpVUd1KxNX2dQn9+zujRiVJoKC6mKUcdzl2jjbvvqV647dhSuMDh/9GAKHTb+3rZbO55HyeKJVzZJh1sdJyxSlxA8UdlRHQVqadOji7nU2wfdYbqQlVA3VTj4unAtQest/GvcKG6dPR3qsD8aGBg0eohEghBile79B1LKDw41QAgxBciUUq4XopYsSYDewzDDu63RaVNKMNBc1eN4pnQdxZvbZrKkhWZaqebWsWM4PiWFNXuyeHXO4gYfZ962PczftAeA+IgwtqTm1TOi6flu20ZuG3E0ozonsaoorf4BBgYGjUG+lHKUv52FEGHAf4BTfe32sa1JbC5t0jEmEAyOSebSlPHcuvJj5uQcZPdtMfTuFM/3l1zMHePGYTaZuPaYkSy89wYGdel4xMf+YN4KNmU1TdLyw6HS5eTuuX/w7ilTOK1bHyM7ooGBDzTvUFOjvRpAL6AHsF4IkQp0BdYIITqjzfySdX27AllHeMk+MWaCjUCEJZinj7qI5zf/Qm5Vy8usAlp4yMRBvbl70nE4PC4u+fY71u3fT0xVEO9efg7TbrqMP1dv579fzKQtVCdamJHK/839nWdPOJX3TzqPGXu3EmyxEB0UQp6tgnVlO4kJCkMYKtKgHRPIivBSyo1AzdO3VxGOklLmCyGmA1OFEK+gOcb0AVY0hRyGEmwEuobFE2MNw+ZumVUXABwuN8f27Y7L7UYKSCsuBqDC4eSqT6dxUr+evHT+JH5//HoufOZLKita7rUAnDtwAHceewyxIaGYhGBjQTZfblvLjNRtANx81GhGdEok2GzG5nTyd/oubG4nxY4quoZHc1y3RAocFXQNi+PPfdt5ds18PjzpXKKDQvh692p+yVhBkUOzUUaH1a5SsWjiC81+vQYGjU1zp00TQnwDnIhmO8wAHpNSfuxTNik3CyG+B7YALuC2pvAMBRCylee51DNq1Ci5atWq+js2In1/1DwLxyR056VR53Lqz59S4qiqFZBucuq+aG7fXzpPuPp89WNlpIoOt+Qp55aIfb6PE7NLKa/S7ipYvqSv9jmHWSzMvu46MktLuOjb75BdlGNKuCOcWRdcS2RQMOd9OpXUouJaxzbrdIFV+eLg1ofn6WaRzijdWF1K16ouumuKqT/Xq6tKXTceGNOpK9+cdilz0nfxT1YqZpOJ83sPYkCs9lBZ6XISbLawp7SAXSWFfLp1FWvysmrJVm0ICDaZmTXleqrcLubt386fGVu4ovdoTuvan2/3ruDNbXMNJWjQYhBCrD4cu9uh6DAwXp7/5RmNcSgA3h/1VaPJ1pwYM8FGYkX+PtblZXNSck9+3r0l0OLUSaXLxU+bN3Pl8GEH7StzOBg/9X1+OPty/rrxGoptVRRUVpIQHsbsHbt45Ke//TrHg2eewOlD+mL3uKl0OLnqm2mU2KvqH1gPSWFRPDvudMYnpjBj71buWPhbzb7Pd64E4Izk/pzUtRePr5xNucuB9BzaVmH3uLl5/s+c12swH+9aSqmziv+snsGb2//ii/HXE2EJ4a/cJewqzz5i+Q0MWhaioba8NoWhBBuRjPISju7cjRl7t6HP7nVe/4EkhIUzfcdW9pcEPn7wvZUruXbkCF4+/XTuXv9LrX0e4LxfvyayNISXzjodl8fD3ztL+NfYUYQIC4t27SOntIz8/eVkF5Xi0NVsfPeKszm+Xw8cbjcrdqeTXlnK6f368Po5k7nmsx8aJOuxnXpwc9/xDInvTLg1iOyKMi6eOZWVuRk++/+Rvo0/0rcd1jm2FefxzOp5tUpPFTkquXHpF5zXbQSvjriBB9d/xuYSw9PUoG1hFNU1lGCj8snm1Tx9zCn8de51vLx8McVVNgZ36MSlA4aydn827/U5mwu//RZngD1PKhwObv9tBh+eew6/5m5kQfbug/pUuVzc/vOMmvcZJSXcc/x4JvbvjcVswmwy1fz5uKXE4/Eggf+bOoN5W/fg8nhwRsHSfem8ctakBsl5etf+vDHufDYV7OetjUv5evtaypqx2n22rYS3t89jV+Vunh56FbeueocsW2FNgoSyytoxnDvOf6TZZDMwMGgcDCV4hOh/+EbO/A/3bvqEcQm9uWbkiYSarQyO6crZf3/I1pL9vDvuYv531nE8tvYPJODI1xnTdAZqadHZaW0q+ba7i7KflehSkwbvVj/G+zsoO6BVxd9jLdcVrz2qhKWsZ0Z6T9457jyOnv4qFS4HJr19rlD7alQnrP5+1SZ+WqQL/fCAyQQdIiLolBhF56gIlqdmkB1WCt20LiLMxTZTFmaTCU8fR43yN+eokh0uVDsoXi2ZWoWJfw88ji3F2Vy+5H1tYwRQrEuyrXuWkC5dYoBInaLUm7zriTzyeFQHm84OuThvJ5/snsN7o25jZtYGpmesZld54ENBDAyOhObOGNNSMZRgE7A0fxf/5GgB5KHmIAq9iVDuW/kLHx57KU+OOJNH1vweQAk1HlzzM2M79OTLE6/gvL8/OezxHg/klJaT6dF5yRxQCCK1vIgSh411F97Fb/u20C0ihodm/E16SWmtflaTiat7jWF85170iownMSwGh9vF42tnNuTSGp2fM5azpnAPJ3UazrtjruORDdOYneZ7SdbAoLVg2AQNJdjkaGET2uys3GXnX4un8sn4y7mox3C+zD8821VTcNncL/hr0i3c1P8Y3t+2pNGP7/J4GDntdV46ZjInJfWh0uVg7vXXszUvjyX70ugSF8GQDp1JjozG7naxuyyfNfkZ3Lf3V1YXaFl3gq31nKSZ2FeZx/u75rCiYDfPD7+Up48yU+asIr+qgsfW/hFo8QwMDBqAoQSbmQqXg492LOHF0edwXGw/bvrr14DWa99XUcTLm+Zx1+AT+XDbEprCWimBe5Yo++JxwX24ecxozhk4gBJHFetysnhgwZ+scexsgrM3PmuLUjl17rNYXHF0Do1iaFwXPh1/Oe9tXsrrGxZRaVOfqHDplpv0S08H5DRNveaBphbbwKAWRj1BDSNOsJnp/9MTAFhNZr474Xpe3DSHxd6l02ocOWpNMbp7cU07MsR3TF3m/tiatjCpz9NTouyDtRLkiYML3246/wFe+WcxH69eA0D1KklojvojqRUbqEx5tSgdpBJlx3Qsq2nb7EoWfWFhl67gcGS4sgmGWtVxSip91wksL1W2UGuIzh9X93etP5dZd2/sTu35LzLMd+iGw+n7+dBkUo8JHl34RYgjjv+MnMiIhET+u+RvFmTu1UQxlKBBI9KYcYLxAzrI0z87pzEOBcDUoz8y4gQN/MfpcbO5OJvBMV0OUoKBYH72Lq4eMaJGCRocHvlVldy1eDrHd+nBU8eczv6KMjLKS8ksLWVJVhqr92ficLeBfHQGBm0MQwkGkOV5+zgtqX+gxQDg6XWzWXDmvzmjb1/+2LEj0OK0WhZm7+WUnz5hbOdk4kPD6BERy/2jj6NXbDwrszNYmJ7KwoxU9lblB1pUg3ZOc6dNa6kYSjCAdAuPpXNoFF1Co8i2ldY/oAnJrizlly1befbUU/hzxw6MKnwNp8rtqrUc+sqqxUQHhzA+MYXjk1O4edgYih02bpz7E+nlWsL1lPdfqhmfetO9AZHboP1heIcaSrDZ2XbeozXtQT89Q1J4NNf3Hceji+epTrp8ocW5kTVtW7Syq0WEKvtgXLwy1pVVKDuZRxd35yzX2Qd1mHR2svvW/srpfe/hiSkn8dh3mjzBdRTF0CtJW2ffduWSLF3y0BC1FBjZQSn84V1TfY5NCCr3uX19sa6uZoxq7s5L8Nm/U5SyS1a5lJtpQoR2fKl7Ei5zKEOn3vZnMat2VLC6p+n5yhYrK9Sxaz1be21/JbKSmXkbmZm3EdbAZT1G8cMZl3P9nB/ZlGXMCg0MAoXxGBBAnB43b2/5h7O6DSY5IjrQ4uABHlk5i4t6D6VLVGS9/Q0azlfb1/Lostl8NvFCukYG/rM3aIdIzTu0sV6tFUMJBpiMymIcHjchlqYLhpt7xm2c13uQX31/2rOJPaWFvHfRlCaTx0BjVtpOPty8ghdOOM3I4GjQ7Ei03KGN9WqtGMuhLYCNRVn0iY5nZ3HTLIt1i4jlhsGj+WnXZr/63zDvB+ZOuYnT+/dhUWbriN1rrXy4eSWnJ/fj+qGj+GiDFt7Tc+ozAEhP7R+WvVc81OzyGRi0dQwlGEAiwjS73triXVw3ZDgLS9bjQVKZG17Tx1yh4ugcujqDBcHKfhUcpeyDDh+2vwqng4FxHbEUaR+3tOpseLqVuOpYuyxXHtPTNvL02acwdo1SgiFFqm+Qzo/HY9XlJXWqGW1IHTrdFqLsd3M7x9W0LUmVPvv36qAOVFCp7k1xhYof9OjqNHp0eURL7cpGmhihhA6zaHGIpc46Ah51uHTOAxU6u2FoiIpltCnzYK3zexzq8/O4fec3vXvVT3xxwhVYw9y8v3l5vfIYGDQWrXkZs7EwlkNbAN+lLkMiuaHveKwmc539BJB6y72k3nIvwea6+x3I3f/M4MOVh5dE4MGVM7AIE3edeuxhjTM4fNIrirlk3ueclzKUB4edFGhxDNoJ1SEShk3QIOB4kDy05hfO6DqElWc+xMzzryYx/GDHlLN6azGFV/w2Dbvb/yCGWWk7uWDwIN472387n0t6mJ62iXNG+mdLbM/EB0dwTvchjIjv2uBj5NjKuGTe54zq2JUXj55MpLX+GaqBgcGRYyjBFkJWZTFnz32HUTOe4eedW/jyzAvpHRNfq8/0Xdvo8e5LLMrYd9jHf/GfRZzSuzfHdEv2e8xrmxaQEBFGv86+ww8MNOafdh8vjT2be4ce2SyuxFHFlXO+wSMlc8+6hX8NGNNIEhoY+MaYCTaTTVAIYQZWAZlSyslCiMeBG4A8b5eHpZR/HDAmBFgIBHvl/EFK+VhzyBtIXNLDBxtW4pGSL8+4kNIqO3/s2MFna9dQQlWDk21/t3EjY5O7Umb3vyhtXlU5a/Zl8fXNl/D1krV8/utKKquar6htS0EgCDZZqPI4fe4fMv2xWvUHjwSb28kDy3+nR2Qcb40/F7Mw8f6WZQD0/v6pmn67Lvpvo5zPoP1iJNDWaJYE2kKIu4FRQJROCZZLKV86xBgBhEspy4UQVmARcKeUclldY1pDAm1/GPPnw4D249sztAeX9BhNz8gEpvz+Rb1j9Ymk9Ym4q7lz9Dg+n7EKh0tbTjXpftfLex68xGqOdPLiMZOZ2LUPEdZg1mVnc+W0Hwjepvradc41QncI18GnB8BTh75wdFUKNjJOOcm4Pb7/UPXJt51V6nnOHOR7qTg5QXn2RFi1c+mdXmw6p55Kp+ZgNDKuJ++O+RclzgrOXvhYnf07hvsO7s8qVQkDYkNtNe0im3LqsVX5TmQQJ2L4ddI1CCEwCVhfkMVNi78HDCXYXmnMBNrR/TvJ8R9c3BiHAuCPE95slQm0m3w5VAjRFTgT+OhwxkmN6l8Wq/fVdkpe+IFEsr4og4fX/EKUNYRr+h3Z90sAd405hnVP3OH3GA9aGaSjvn+V876eSveYGJbefBO9E+PrHdsWuKjbOIod5Vy46MlmP3eOrZzjf3mXS2d/zS2Lf6B3lLEsbdC4GHGCzWMTfA24Hw4qVXe7EGKDEOITIUTswcO0ZVQhxDogF5gtpTzIf1wIcaMQYpUQYlVeXt5Bx2gLSCS3L/+WO4aOP8LjwNGfvQ/AoKROhz1+Y04OR7/7HptzcvjmP1dw4fFDj0ieI2FQTCIW0fRf3wfWfc05/zyOw+Oqv3MT4PC42VNayLbiHKKCQugSFlX/IAMDf5CGTRCa2CYohJgM5EopVwshTtTtehd4Eu13+UngZeC6A8dLKd3AMCFEDPCzEGKwlHLTAX0+AD4AbTm0CS6jRVDsqCTMYiXYbMHubvgP8v6Kch79aTYZhXUkBa0HD3DFtB+4p8/RPHDxSXTvFMvTfy1osDz+EhcUzufjr6FXVIeabZNmvcvusvaRd9PmdvJT6gau7jOa59bP4cQ5WpJt1wEJkBdNfCEQ4hkYBAQhxAY/uuVJKU+ua2dTO8YcC0wRQpwBhABRQoivpJRXVHcQQnwIzKjrAABSymIhxHzgdGDTofq2BVac/kxNe8LcewAYGduFraWpdOm0H4B9+9VypMmiL/Sqnsh6DMiqaadmqaW0r/ZthAi0lw5ric7GFqvZ1SKidEVnde2Xdy5j04x83po8GemBl6dpilBv77PqYt8rdHmvPbpgff1vuLlADS6zqRAR4RKcOPgoekV1YGNBNq+s/4f5Wbu9e70JAHQB6q4ynRChyj6oD3QvrNQMlv3j1epBUph6MChzqiB7h0fdl04hKuC+zKX6lDpUO6tczdb0hZBjQ2w+23k2lQCg0qHsg3oro8XiZmrqUn6ccBMLCxeS5juvgIGB37SRUkpm4IxD7BfA9EMdoEmVoJTyIeAhAO9M8F4p5RVCiC5Symxvt3PxodiEEB0Ap1cBhgITgeebUt6WzL6K/XQP78SwmF6sK95d/4BmYNbOXdzx+++8ceaZjOmfjMvjYXd2AdOXb6Z/cidG9elKem4xv6/YSkSPcLrHxTC4SyfGdO/Ks/MW8Md2/+sWfr1pPV9vWg+x7c87tZpsWwnPb5zFayNu4ZGNn7O55PBDZQwM9LQBJXiTlPKQfwhCiFsPtT9QadNeEEIMQ3sYSQVuAhBCJAIfSSnPALoAn3vDK0zA91LKQ84Y2ypmYcJisvDJnj95dcStnDb/gUCLVMPMHTu5K206F50wDJfbzYjeSUwa3Z9Ku5Os/BIGd+/MpScOxyU92J0uSqqqyCop5eUzJ7EyPYPcKmNKczj8mr4etymfp4Zey3s7ZzA3dzM2t73+gQYGbRAp5aIj7dNsSlBKOR+Y721fWUefLLxTWynlBmB4M4kXcO5dr1yVOwUPZlKXKZiEiXv6XcDY+AF4kHikh18zlgTMSaMu/tmwl382aEVk9cuhQmehPXA5dNZ11zD10ouZ+OmnzSRl22FF4XYeWPcht/Q5izv7nUtqRQ6L87fy+d45DJmuQmk3TvlfAKU0aOm0pThBr//Jk0B3NL0m0IIM6vUkMxJot0BO7Xwmeyt2s69iDxX2AXy26yt2luXoeoTh0cXIWXRxcaEharlQnzx60kBVQeLvPf1q2s5sFcznsiitZarSbGxl+5XhUIQp5SvjVYBhWQ9lxwou8H1N7uDaPkuXfv89y26+ieMHdGdeuqZAQ7LUNQUX6RJP69KkVkUr25/QFb7V+zmLSCWb9OiSjhera4mJrgBgb4lK4B0epGZUHUMratpBJnV/91Wo/nr0BXnNOu2fW6xsmyWVKjawd7xy6LkyWTk9ry3vpo6pszk63OpPdXdxPKvsBVyf/xkeVwhDYpN4adT5/LZvByW0D0chg8ZBthEliBaFcB6wUR5m8LuhBFsgyWHd+TFjKrn2HJZmN8yLs6VzVCctRGNHUR1a08AvHB4Xqwv2sSRvD6PiU9hbbihBg3ZJOrDpcBUgGEqwRZJly6BraDdy7Tn1d26ljEhKpKSqiszy0vo7BwgTJjwHhbe2TLqFx7Eiv2U4TBm0HlpzkPsB3A/8IYRYANQs6UgpX6lvoJFAu4VhFha6hnYjx76/2c45qENHesT4zFfQZKQWFRN0GOWgAsHHo19mYqfjAi2GX8zM2MS9g07jlC4Da7ZduOQWLlxySwClMmjJyLYVLP80UIkWihepe9WLMRNsISzM7gXAiZ0GsbeigLn77UBH4sKU92RiuG7WpGLGcemMZrFBypalp8KlbFajk9Nq2oUdw5h27O2EmoN5YuUcPtmq5V6NWF9t51NfkfIUXVHYRCXX8H57a9r6IrW5FcoGV56qlGzIfjOxhOB2e2rZAd3KZIant4qSi4lQMXV6K3dxeajPPj2iC5UMuhi86nyhoGL53Lo/3urYQYCc0kh2lOZzQ8/L+WrvRtxSmxF2j9RVFtahtwnqbYvdE1X/3cUqtnNfibofc00DlOzhajkzxqquSc8Jcdtr2uu8NsRUZyovb1/P/UOuZ1znML5P/8PnWAODNkqclPLUhgw0ZoItDJfHhd3tu1pBU3He4vv5JXMBSeHNk5LLYjJx6eihFFX6/pFvKVyx8BMW7t+JaCVLRrsr9vHmzk8YE9dunKoNjhApRaO9AszfQogGKUFjJtjCyLIV0zm0eZcmAd7f/RNbUxOb5Vzf3nAJMWGhnPHm581yvobiQXLzsq+Ji/C/gHGgSavMBGByl5OZkT0nwNIYtGxaxDJmY3EbcL8Qwg44MUIkWi8dQ6JazcyjIVhMJgZ27sgVn35PQUXrCpS/qNtxXJlyHF/s+5YVhasDLY5PHB4nz297mycG38ekLhModpZw2+oX2FOhKceZx78eYAkNDBofKaVf9j9fGEqwhZCXH8mAmI48Nvhi7l35M5lFMdoOncNvTqnvzzk0WL98quxOUcEq12eMrq0nxKxi/8Ki1PKkPV6zCYboPO4j9+pi9HYqe9+WiaoixdhElcEoLlgpOVeMFgoxocOxOKWL7YkbCE+EskoVCxcbrju/Lg5yVEdlw3R41Fc2M0xXyFBHTqWSLVJnn9Pn9Kw5nlMdLyVW2RL1Nr7q2oIZ5SXEBsVwZ5+bARg34xUK7JoNNim2uKa/Pj4zxKLu74B45e2rzzVa6VIZBpbnd69p6z+zLqEqVKbSomTT2w2DTNXnKufOtY8TY42iZ0R/nh16G+uLd/B56u8HXb9B+6YFLGM2GkKIoUAKOr0mpfypvnGGEmxBHNslhd/3bWVx7p5Ai9JkDI0ZgEu6ibKGUups2TbBA5mfu6UmoXm3sI4U2FtuHlOHx0muvYA9FStZXbSdG3uewwkdRgRaLIMWRBtJoA2AEOITYCiwGVW2TwL1KkHDMaYFcf2AMfyRti3QYjQpH++dSrGjkpkT7ic2KLz+AS2UtMpcALqGxbDj/EcINlnrGRE4ihylbC9LI9oaUX9nA4PWydFSylFSyqullNd6XweV5/OFoQRbEGEWK7uK23bGj3JXJVMWvEyFy8Fd/SYFWpwjJqtSW6b888TnAizJoVlTtJXjOxheowY6pBYr2FivALNUCDGw/m4HYyyHthDCLFZCzFZKHFUIZS7C5TD7bOtrCLrcupybVmWDyneqJ3+9bapjiIrB0xdljdDlHXUP15Rx+SpVh7DjanUMoUuk4vlM2SoXjDmqpp00OrOm3TtaKffhHTKpchfTIyqI47urLCeZlcrGF2VVtrxsm9oeZlEyDoquP6FAuUvlNe0UWlbT3l2q2U47xqi4Sr1tTl/vr6BCzVjzC9U99bi1e3fiL+8z/5yb6BvZmT0VWSRGqHjOQdHZaqxDjd1ZoQI9g3SfjUV3Y136vKd2NTbMrGzAlW6rz+1V3lyj1cfbb9uPaBsrXwaNSBvKGPM5miLcj5Yxpto7dGh9A42ZYAuh0uVkZ0keQ+O7BFqUZqFLaCJ/ZLeNylhpZUV8tucPru85mQhLaP0DAkBKeBJlztbljWtgcBh8AlyJVnj9LGCy9/96OeRMUAhxyIq8XgqllNf4czKDQ5NVUUp8SBj4TvrSpnB4HIyKHc22sq0BleO8pDM4o8tJ7CzfS2p5Dg6PC4fHQaW7gqUF6yh1lZMQFMGrYy5hUIwWRym8/1Y/QwshcHqcVLrtfHn0I1y69P4AXU3dVLhtxAY1TzIEg9aBpE15h6ZJKf3RVwdR33LoAOBfh9gvgLcbcmKDg9lZks+1/Uezavkeyl0tr1Cq1WLG6TrywPEnBj1NkCmIEzpMYE/5bpYULm4E6Q5NlCWaYxNOxua2UeIsJtIEt/c5h5SITizIXUafyBS6hyVjEibMwkSQycpNvS7BgwcTJtIri7hv1ffklrpxSw8uj8Tl1gLqnS437qhNpIR34YNR9zX5tRwOYeYQzkk6iTMTj2N5wUZO6jQm0CIZtBjaVLD8NiHEVOA3aifQPuIQif9IKRccqoMQwqjc2Ui8vH4hj406hZ9P/hdf7V7J9LSN5LUQN/zLRg7lsUdO5qyr3qK4tOGhDSNiRtAlJJGP937ISR1P5poe13N20rmYhQWBhR1l+wgyB/H81tdwoync23tfQUp4Elm2XH7N+oXTOk+k0F7E1tI/KHcfugrFsfEncErnM+kU3JlKdyUCgcVkwSws5FYVc+eaR8lzaDGMepugxeQhwhJGcmgX5mTYqHRpn0NFuYrRq7YJAvSJgtSKbFzSzWmdjmFWzpIG36PG5Pqe5xJlieDedS+TXZVvKEGDtkoomvLTp07zK0TikEpQSvl9fQfwp49B/UREaYHRL26fzqzsnlzUYzj/HnAC/+Ts5pn1f5FXVV7PETTcHvVkZzYply198Le+rQ8mT4pUAdmb93fWGgO1835tW8K67/azdbQDjzQRmqUUQPQe5czRYY1q77fpyskfr/2XVpbN9T3sDI3uyzu7H6Zb6HCGxY7G7qki1hrH8NjReHBza+8LmJr+MT3D+3JSx6NJq9zHuPhhjE8YSamzmGBzKJMTT+O2NffilE6qXCGYgFM6j2dipxPoEBxFiFlzillduJOH13/NjrJcJWeofs1ZcyxKCiuu2eKSZqCCXEceKbHKUyknXFdkWFc81+ZVoEvzt3NT7wsYmzCAj/d8Uyv4XY8+ybZFVxzYqXNy0jst6ROT6519kkNUgu70KpVur9wb4D8qbjD3rHuN/VWFGC4ABgfSnF6d3li+yUCulHKwd9uLaLY7B7AbuFZKWezd9xBwPeAG7pBSzqrr2FLKaxsql1/eoUKIvsB9qNL11Sc+qaEnNqiblflprMxPI8oawl2DJ/D48EnctnRaoMVifc6Rl3dyeJxk2vYSF6R5R24r38S28k21+tzX93EGRQ/lZuvdDIgawo7y7by4/TmSQrrSJTSeDSWrMWPm6SFv8uyQx5iVM4fLu12ERZhxShfri/YwK3slRY4yZufo05s1femmRzd8ye39xnN65wnc2+9mblj5VpOf81CYhQmXx1V/R4N2STPbBD8D3gK+0G2bDTwkpXQJIZ4HHgIe8IY7XAIMAhLREmT3lVLWsscIIW6UUn5wqJPW18ffEIlpwHvAh0DrySbcyil1VvHM+r/4beKNTEzsx99Z2+sf1ApwSRedQ7rWuf+Dva9xT99H6RDciZnZvzAjeyYAmVUZ5DlSAXDj5r+bnubhAXdzZfeLmZ+7gg/2fIvD46KoSnloNndYgAsP0zJmsLNsLw8MuI3jE4awMH9j8wqhI7Myjy6hCeQ7SurvbGDQhEgpFwohUg7Y9pfu7TLgAm/7bOBbKaUd2CuE2AWMAZYecNgHhRCHCq4WwJ3AEStBl5TyXT/7GjQiTo+bVzbP4/Jeo9qMEvws9SWeHvwZCUFdSLMd/P0tcRbz6Oa7SQ5NIbsqEw++12wKHIXcs/6/AFTqlghbAutKNrOicC139DvviJRgiCmIK7pP4qROo/g5Yz7TMg6vMkS38E7sq2i+As0GrQctyL1RnxIThBCrdO8/qG+WdgDXAd9520loSrGaDO+2A1lA/aEQsw+1s74QiThv8zchxK3Az9T2vCn0OdDgsNk4xbd/Ucq7L7GwZD9vjevJJ8deybTdG+gZFc9vWWtJq9DsQS67WubzWNSX2qSzCeY6VEC7s0p97KERvr1Qq4Pu9Y4gQQXKpuRWm8kbobZLszpn+AD19dAHnBc6cnBKJ/0ixxFreqdmu1kXKF7oiuD+AV/x5d67SKvc6VNGfXC4nt2oAP9iXTLrpPCDnWgsJrWwodkBNVQy6tp99LZEvW2uolLdkF3e4rlL83IYFjME6bHiwlM7mXepClfw6ILi9Tbdj4+5krEdelDusrOvIo8rUs7gx32b2VasHHhc0Upmmy5wvsIRzCsjrqLMaee7Y5456LoNDKDRc4fmSylHNWSgEOI/gAv4unqTj24HPQ0fiS2wmvpmgqu9J64WSO//LYGeRyqAQf2UOuzcPecPuiVEcVmfYWwpzOX7CdeyoTCLr3avZG5aaqBFPGzWF63h2IQT+bninTr7vLPjcspdhTSHLa8p+H7fcq7reQKfj7ubZzZ/z4md+jAgqgdVbgdPbZhNeqX2kGDBxCNHTWZgTCLbS3JYmb+PDiERjE5I4dZlX7E4bzehQU6+OfZOph13N7esfIN9lTmHPHeQycL4jv2bvUCzgcHhIoS4Gs1h5mQpa1x1MoBkXbeuQFZTnL8+79AeXiFDpJS1avEIoU/uZdDU/LRjC2S5eG2D9v6VbbM5M3kQT4w4E6fzD/7J3htYAQ+TPRW7GBxz6IxGmgJsvTg8Lq5Y9jLfjLuPd0ffSqmzkixbHp1C4vhtwv+RXlmIR3pIDI3F7nGxpiCNYXHJnJo4kCCzhc93L2Fxnkord/niN3h3zA18cvQ9LM/fxnu7fgN8m0OO69Afh8dFmdNGsLnlJvc2CCyBzvkphDgdeAA4QUqpT2k0HZgqhHgFzTGmD7CiKWTw1ya4BDiwDouvbQbNhN3j4qd96+keEceIhK6tTgnuLN9KiCmULqHDyLatC7Q4TUaRo5zTFzwG1A5HCfH04vZ+E7G7nXyxexnT9mmmlLpCXEALzL9pxQec3+0o7h1wIeMSBuDwONhdsYvPUj8h06aWe8d37E9uVQmrC/ZQxU5m52j+Bx+N+qypLtWgFdKc3qFCiG+AE9FshxnAY2jeoMHAbKF5sS2TUt4spdwshPge2IK2THrbgZ6hjUV9NsHOaMbIUCHEcNSyaBQQ1hQCGdQm9ZZ7fW7vOVWz86zNyebmQUfz1tYFSMBZruxUwurxOTYoVC2RhQQp25dTV8jW7i02G6krtFsWr+xe7gjf38fwOPUwF2xRfcJ0xV/XFySxHjdjYtdzRtdX+L+1z7OvMpvj4nf5vtbgQgQCDy5ynCqZdhHKzmgR6lyDo9SqSbZd9U8IUrGWkWZtYSParORNtauk1umVKuZOX6RXjz6OT0/HcHWegkolY5XOtmiTaTy55RMA9u7rCN5rETrFJ8rUn6c9Uck5M3slM7NXEmYO5sykYZyTdCLPDXmJDcU7eXn71xQ7yjm2Qz9W5O9ia8Usbux5K0vyF1Phbgf5+Az8RiKaVQlKKS/1sfnjQ/R/Gnjan2MLIYKB8zm4qO4T9Y2tbyZ4GnAN2nrsyyglWAo87I9wBk3LvKxd3Dr4GM5IHsjv6VsCLc5h8djGb+kUEsZLw+7hwiW+lT1Ah5ChRAZ1Y3fpr80oXcun0m1nRvYiZmQv4qjoPtzR9xI+H/s4lS4bLil5atPP9I1LZXH+Ip4c/CzfpH1d/0ENDFonvwIlaH4sh5Vzsj6b4OdCiC+BS6WUxl9QC8QtJT+mrueELr1bnRIE+O+mN/l1/OsMiOwJ+J4J5latJbdqbfMK1spYX7KT61c+yYjY/lzUdSL3rfmOKo+W6u3XrJ/It+cyJm5sgKU0aGkEvgxgo9FVSnl6QwbWm0dJSukBbmrIwQ2ah2W5qYzt4Ds9V2sgvXI//xl4AyEmo/L5kbKmaBsPbnyL4gPKJu0s30HviN5cv+Ixzvrn35z1z78DJKFBi8EbJ9hYrwCzRAgxpCED/XWMmS2EuBctkLHGsGDECQaOPZep1egxfz6MGyczJ13PrtI8vktdztqitFo2Pj16hwt9n+gwnf2vSrP/xYaqbZED1SqDWxfbVunw7X1o1x3bLZU90WZX/XtGF/Dopid56agnubrXBzy0Uftx7hOq8nx2thTXtK1C2TDDTEqenVWda9o9gvNq2kPD0mraJW5lxi50aQq30qMLeNSRHKZyctZlE4wNVvcmKlI5T7s86rqjopWM+vyf+wqVzdEaoStmnKOrRxirbe8QGs6E7kM5oVNv/snZzdKShT7l0eeEdXt/lKqLB+/GzayY5ZydNIEP9/zoc7yBQStmPHCNEGIvh1lU118leJ33/9t024w4wRbE5YvfJCWiA30jknll1KW8uGUmv+7bHGix/MKFi/s3PsbHo97krC4X8Fv2D4EWqcUwrlN3pp5yWc37IkclSxuYAc1qslDgKG4cwQzaBm1nPXRSQwf6pQSr4wUNWi52j5PtpVlsKMxhXVEar466jAcHTSatopC3t81nYY7vrCstBYfHwY8ZX3Ne10sZGzeeaam3UukpDrRYAWd5bhq9v34OU4jy6E2MadixEkM6sKc8o3EEM2gTtIBlzEZBSrlPCHEUcJx30z9SyvX+jPW3ioQVuIWagjjMB96XUhrpKFogu8pyOWvea4SbIhkRl8xTw8/mgvnvk1tVFjCZrCYzPx9/F1csfgeb3ffXZl7eLJYXLObhgU9zXvfn+Wpv+zZFH9+lJ5+ffDE9vnq2UYog/Z79Dzf3upAtpXvYX5VP7++fAiA6UlvWDTMHAR7sHu3zKa/ynY9Vn+bNaqkdKlNX+j8Dg6ZECHEncAOqfuBXQogPpJRv1jfW3+XQdwErUJ3j6krvtkNVnTdoJlac7js35MiZ/2FpUQk/pHfg6RHncOOSr5BIyrK1PKJXDhpGcCh8vHUlAOWlKgmQyaKtk+hj/frEKlub3u7VI9x31pLtZZ3UGxlEl9BYju0UwxnDJvDQBi08KLM8GrMw8dGYu/lq38NUuPP5YNd/uH/A2/SIvJRFBX9S6VE/xp2svtcC+4T4ThIdJHzHM8ZZtFi+Ko+yT0aYlV1Pv31UQnpNu1KXnzPequLunLq8o/kOZUPU5/OMsuqC5XXxmaHB6qGgTGevfWrsaQCYg9xEhPr2+u4erjPLq5BE1uRpGaecus/pxz37iTat5fmh97K+IIsv5Sryq8o5tXs3xnXoS/+oRKSUrCjYxbyczcxK30O567C8zQ1aGYHOGNOIXA+MlVJWAHjLMi0FGk0JjpZSHqV7P1cI4ddU0yDwfLJ7AR+N6c9n468m0hrCb9t3MqxjFwbGd6RzeAQDYzvx4Zbl9InpwNiOyQyI7USRo5JF+/eyrnwDmbYj939ySRdn/fNvksM6c3TCQH4//mnOXPgfAASC7aXpPDLoEx7ccAHFrnzm5P7KWUlXsrZ4MTpfrHZFckQMv6Q2bhmmT3Yt4us9yzi54zDuGnwC4ZZglhdu57PdC1lTuJcwi5njOg7g1C5DeWDgOaRVFJJfVc7s7K38kbERm5GLtM0gaTvLoWiOMPonXje+k3AfhL9K0C2E6CWl3A0ghOiJUVew1eCWHm5f/i0nd+lPekURJ8QMYc6+3dw553csEW4u7zucL06+hKzKMn7es5HpqVvoFB7O+C49uGPILby9/U+mZ66udczHBt2NGTOPbn7xsGRJr9zP+YseZ0BUt5ptLunmle0/cnriaCZ3uYYZ2Z8xa/93DIkazaOD3mN5/i/My/2sMW5Fq6L3909haoKCiHaPix9T1/NjqvYcW70cCuB0OpiRuYYZmWuQrki6h8eRFB7D2clHcc+giUxP38DPqRuIDgqlf3Qn4kJC+DNzIzvLcus6nYFBc/ApsFwI8bP3/TkcIhuNHn+V4H3APCHEHjTt2h044hIWBs1Hvr2c71K1/JR/b1IVCITTyXubl/HBluV4dGsjJovk9/StrChO5pLux9ZSgoOiBvBH9lzu7Xdzg2QpdJSxOL+256rD42JN0QLGd5jMjOzPAHhpx72c2GEKZ3a5lLSKjeyuWO3jaAcTYemMSZgpdWbW23dswnV0Dh3AsryPyS+vv39z4wngelWFy86Wkmy2lGQzO2sriaHRXJgyktfGXkBuVRnbS3Kwe+y8c/QV5FaV8fSGGQGT1aABSKCNzASllK8IIeajhUoI4FoppV8ZNvz1Dp0jhOgD9POeYJu34q9fCCHMwCogU0o5WQjxOJoRs9rI9LCU8o8DxiQDXwCdAQ9agcbX/T2nweFR14+t3e2kX1QX7h1wFqtL/qTQUczDA+7m8mW3c/HShinBuvg+/U1m7Z/KcQlTmJf3OwDz86ZzfIfT6B052m8leFrSUySE9GFG+t24nXMP2Xd0whUAmISZLeX/Q+I736oBZNlKeH3rXF7dPL9mm9Xi5o2tc5icPJQ3x17GxJlvkVZRhMdT+8d110X/bWZpG4e+PzyJCcF9Q09maGwieVUVPLxqOpVuJzsueCTQ4h0xrd0mKISIklKWemvfpnpf1fvi/Ill93cmCDASlZz0KCEEUsov/Bx7J7AVLfF2Na9KKV86xBgXcI+Uco0QIhJYLYSYLaVsfbnBAsTqSX7lnj0kvb59hvX7P+G8lCHc3/cB4kO0gPMNufE1fSKtVT7HjorZV9PWO5rYPL69DuMsFSAr2FycRp49sWb7nopUUiLGkGn/tlZ/vZNMsrWgpj0v8xIEFiQucpxxNdtDTMqe1cGiecq+te0kAAQmhsb+i9k52mymY5DypA0zKZtkqltdd57OAUZfkFefqFu/fVW+Ko8WFazuWahVyaVPvq1H71QTH+y7j77I8IgOmjNPZmWMz76hQapvuK66RV02IpsuIUJlmfr8XMGag893O7dglsFMP+VGSh1V/Hvpj6wtaHkz64Zwy4DxDI1N5PUtC3hqxJn0jurAhqImKW1ncPhMRatFWF37thqBn7Hsfnlee/OHvoQ21RztfflVQVgI0RU4E/jIn/7VSCmzpZRrvO0yNCWadDjHMGgcMitKeHPzIj7dpnmRHvdz3YVwm4If078iPqgDXYL9//glrvo7HUCZs4FR6AYAfLtnDcN/eZ43tizg4aNOCbQ4jcLohG5c2nMkdy3/iRV5+7CYzBTaK+sf2FqQjfgKAFLKyd7/e0gpe+pePaSUfiVz8Tf8aBRwrJTyVinlv72vO/wc+xpwPxy0znS7EGKDEOITIUTswcMUQogUYDiw3Me+G4UQq4QQq/Ly8g4aa9B4WEwmPt22koyK5lUWBc589lTs5MEBT9E9rN4sSA1C4mFZ4T9Ncuz2hAR+TF1HiMXKxMS+gRbniLmx3zG8uHEOuVXa7Ds2OIwiR1tRgo2XNzTQXqZCiDn+bPOFv8uhm9Bsc9mHIRdCiMlArpRytRDiRN2ud4En0f5mnkQr03TdQQfQjhEB/Aj8n5Sy9MD9UsoPgA8ARo0a1cpXuFs2i7NTefeE8/g7YycbKrc367lnZP3InX0fYkD0ePZVbmjWcwOYsOBpwOyyPSKBFzfM5eFhpzAveyduKen+yQs1+/ddd3+zylNde7Oa/jEdmXbKVczL3M0zq+eRVVlKUJhaHg62qs/5z5PvYm2BlmVHAOGWICpdDgxaBkKIELTatgneyZS+5m1inQN1+KsEE4AtQogV6Go1SSmn1DPuWGCKEOIMIASIEkJ8JaW8QncRHwI+3cq8mWp+BL6WUv7kq49B07L7EpWou9e3z/DsujncMXQ8F81Q6bcWOnrVtC/ut6beY1rqCGAvdKlob6uuAG2JM5Tre97B2qL1zNn/Jlbv17zargeQ7lS2un32hJr2qPC9Ps+V59ISBvQJVkH2myrUcuvOio7qGLH9OaXTqby282VidMWB9eiD6IudKgl2hEX9YOqD7vX3oGuQst1bddv1Cb97BKsQhG4W1X+lTWU0/HW/CuUttGljzUI9F+ptf9YgdR79U3yRTckeGaL665OhR8cqG6k+e4ytSt2DeWmp3NC3gou6j+KLTS0npDgmKJT3jj+f/63+iy6h0cw48xpmZ+yk1F1Bp9BIOodGYTUL/r18KiVOG3n2UpIiQ8lxaqtMlS47MaEmKt1tRBG2/mnDTcD/oSm81dSuefu2PwfwVwk+fpiCASClfAh4CMA7E7xXSnmFEKKLlLJ6Vnku2kyzFkIIgRbnsVVK+UpDzm/Q+PyRtpXnx0zGIky4ZPN5UoaaQ/g9eza+XWqalrv63tOoxzsu4QwcnjJs7gps7gqiTFmc3+0N9pT/w4L9vrP/tEaeXPU3H024kGFxSTyzYj75VYFfRnzj2HOYmbaNH/ZswOM2MW3XRk7q2ovYcCs7SnPZbyvlyt4jObPrUKbuXU56RRHJ4XGsKdSqkZQ5q4i0hrQNJShbf7C8N2LgdSHEv/1JkeYLf0MkFhxqvxBiqZRy3GGc9wUhxDC055BUvPUKhRCJwEdSyjPQZpFXAhuFEOu84w4KpTBoXlIi48iuLG1WBQhQ5bYzKnY4G4r8WuZvEobFjCC1YvERHcMirJyddPVB21PLl7I077B8x1o8W4tzOeW3D/j3wOP469zruOqvaWwqyKl/YBORHB5Dn+gErpmvvIyzKkv5asfaWsuhA2Li6R2lrQSkVRSSHKY8jDMqi+gd2ZGcqoMsMwYBREr5phBiMDAQbdWxenu9EQyHEyJxKELq6yClnI+WeBsp5ZV19MkCzvC2F+Fn2huDpuPcxap61h2DL+HavqP5aNtB/klNjsvjItRS79esSfjXqmv4V48biQuKI7WBGdwEArOw4JJO7l1/8SGWQ49U2pZFpcvJs6sWEGa1MqpTEpsKcujx1bM1+/de8VCTnFd/DuFdsS1xVBEdFFLvj8rqwn3c2Pd43tk+jwqXnZQItdS+JHc3x3TsxeK8XYz5U5kK6srf2+Jp/cuhAAghHgNORFOCf6CVVlqEFmt+SBpLCbaRW2lwKMJCHMzN2ci3WbOISlD2nyCdI8GOcpU0u2+EeurXJ5jWx87pbWkFdhV3p4+FG58wlkhrOL9mfsbAMLU9RPhekoqzKE1VrLOr7bV3qGmPC9dKS3U2K7tiz1CVCHx9Wdeats1tJcOWx5qi7aRXKkdmfeFdfYxeuav2oq1A8OJR37K5ZAVf7tMcRPQxi/rCvv1ClO+Z3l65066KBs8pHljT3las7vf+EhWGWx2sHqxL1F1coSvYWwcWs1LOGdlqBiSdyvZnqlCfn4xR1xEUqmtHKHtiZVkIOVVldAwPwxTU/NkWQ8IchFmCeGHkmawo2EtIuBaj6dYF9Lvc6po2FhSwuiCDYxMGcHJiP77eu5ggq4vIIDsbyzbw9NBr+T5tIbl1VENpXbSZp64LgKOAtVLKa4UQnfAzLK8xKrQYtBN+TV/JhE6Dmv28xydMZFf5Dqo8vp1SmoMLup5Nn4iG1ZDu6I1v/CGjeeMrWxIbC/ZzRvf+RFib36qbGBbD1OOuJ7+qjDtXfFv/AKBLaBShliB6RXRiSf6Omu07yjL5IX0R7465gY4h0U0lssHhY5NSegCXECIKyMXPou+NpQTbzOOEQd3k2csItwRjFs377JQY2pUNxf6lTGsq9lbs46Ze1zIq9qh6+1qElfOSLmFM3DHc2utxcuwZ3Lv+Ymxu35le2gMLs/eydP8+nhxzWrOf++Ehk/grawuPr5+BS/o3E+0YEsl/jzqNpzb9jNNTe8x3afP5MX0Z7435F+Hm4DqO0Epo5cHyOlYJIWKAD9G8RNcAK/wZ6G9R3XC8mlYI0RfoD8zUFdX1aeMzaHvYPS4iLCGUN9NS0KmdJmM1BbGk4JC+WU3OY5uf5bkhj3Ff/1vYXZ7Kwxufq7OvWZg4tfOZAJQ5i5tJwpbPE6vmsOKC24kPDqOgCbKu6GMRTd4JZ6Q1mDEJKTy4+vAirB5Y9StCCDaWb/W5f2rqYobEdGdS0nB+SFvGWf/8u2bfb8c1yEkxMAReeR0x3kiCZ6WUxcB7Qog/gSgppV8Bxf7aBBcCx3mDEeegJcO+GLgcQEp5UIiDQdsgs0wt+ZzTPY58ey4dI/ZRrsuhWV6lnoY35ijbVa5Nxf0NiPHtFai3A3p07tphZicRlijOSryQRblf0DlIi0sMMyk7YIE7sqbtlmp2GmZS9ih9ztIu1uKadnVcYT+rsuvp7XHRZvUjvb5Cy/n51Nb7iLaM4+ROoyl1Btey/Zm88Xih5jCeGPQsc3N+ZHbOd6QE59CnHn+eSF0x31UVKu5Pb0fVU+RQ9zUpQmXvKXOoz8Fm165bb/fyuH0v2Hhc6t6FRqn7q7cDCrtqm6t0xyzU5RHVBbA4otVDksXreenCRVZFKR3DIppECeqR3ms6uVtfVuSn1hQHjg5TS+qRQb5rANicVvY5tdjGCYkqtlNvD3Z4zMzP/5sbelzEPwWzG11+A/+RUkohxC9o+a2RUqYeznh/17WElLISOA94U0p5LpoXjkE7YljMEFYV+VWdpFH4V4+HKXLksbzg+2Y7Z32sK97By9u/rnO/w2PHJEzk2jOMihQ+cHrcBJsayx/v0HQMjeD2o8YxPb1pgvU3leykxFXOU0P+TbDJWv+AlkZ1KaXGegWWZUKI0Q0Z6LcSFEKMQ5v5/e7d1jzfZIMWQ769kBhr8zgDmDCRFJrCZ6mHKjTSsoixxvG/QS/z9NYbWFds5CH1xb6yIrpHHjJVcKMwrnM3fj7zSqbt3MhfWU1XeObxTW8QbLIyOLpPk52jKZGy8V4BZgKwVAix25uTeqMQolGXQ/8PLfPLz1LKzd7K8vMaJqtBayU5LJH0yuYpITMkegxu6WJ/VTodW8lDttVkJS4oof6O7ZgwaxDlTr9LkTLwl8dr2g6H9nMVaQ1mUFwnVuRrpbqctuqfMTNBJjP3jBjPOb0Gcv/imSzM2ktYTCMJ7wMPkrVF25jYaSzrirfhbuYkEgY1TGrowMPJGLPA6yCDlHIP4G8VCYNWzPFddte0y1376BPRmQ0lpUTXkUNTb9dLDlH2tjK3Mozl6+rwxQapmD59ns0zupxLbtU2UoLzatUNLHSpsfkuZRPUH1+ff7N7sIr921WlYuqq4/TWW9Q2Rx02uIFhSvHr6wzqWV6Ywt7y6pi8RIqd2rWvdCgbn00XE6m/f0nBxTXtdcUqPlFPiFnF+1W51Z9tsq7+oL5GYe8Yrb6iw6OuaV+JmoGVlqv7FavLBao/Rrc+Sq6Ne5VcLv36UbC610GR6vPTJ6GuKFe2ysTwSPLcxVhDG56M/IZ+47h14HgeXv0bP6Suq9k+wN2JV86cRGZJKWe//zVFlTaCCMKzV9kqc4PVSkZGslLGYZHquvUxg7MqlP1VHw9bVqHu3/NZW/nypGF0ExOYkdbKyp0GfgZ3RFQX1QV8/2H6gb/eoePQ8nhGAN2EEEcBN0kpb23oiQ1aHzZ3BZZmsH1YCCIuqDtT9/osLNKi2V2eQbCplbvNNyGdQiMbnHIsyGTm2dGTmdClD3cs+4HHh0+iU0gkcZZIuoRHMSIuiVcWLOG79RsRzVjwo9RZxaz07QyO7cyMfa1NCQbclnekHFhUV39BfhXV9Xc59DXgNGA6gJRyvRDi+MOR1KD1k21LY3xCg1cd/KZHeD8kbooc++rv3IJ4oP9VFDnKyLHvr79zOyTEbMFiMjfYMea/w08l2Gzh/DmfsK+ygEqXg3Ede7CnpJB/svfyv83z2V8WmFjMLcU5XN9/TEDO3Z7RF9Vt6DH8/jZKKdO1cIwamj//kUFAkUhCzPWn3jpShsceg93dwCSdAeTEjiOpcAUuq01zE2QyMaX3AGbs2UaV59BTr+v7j+GeoScgkXh0XhQpnz2vNcxqmz40I9ybuW1y1yGM65jCubM/ptzlwGSGhTm7WZizu8YmaCkLTG5ZgI0F2QyO60yUNYS+Pz4JQEx47e9CS8wvKlr5cqgeIcR5wHi0GeA/Uspf/BnnrxJMF0IcA0ghRBCaPdB3FKlBm2J7qaqrNzx6InNztrG6oGutEiwuXYyew6W+UnPLVWXxyHC9zUX17xZdXNOOCqri5A7HMyruRKZnvlnL5ldNhkPls9TbFvUJqeuq+afPKVrNP2X9ato3xSuPznV0qWnHm9XsYr8rRrddmSFujF0JvI7Vs52L4lWiioXl/dVYu8rtWaKrOZheoWx1YRYVX1fqVMuq2ZXqXticaklaH8cZHaKuO7Mi6qC+YUHKZmeJUg4cNofqU6rLhV9qV22TRd3fpK7BvHn0BQyJ02qWPjr2JF7aMp0f9qqfhOr4xBCThQVTbqFLWBRf7FxBsdPG+8dcwuULPqeomHqpKAyjd3QcDwyaxBW/TaO4wMSB+fplsHYtjo7q3gmdIjWXq7Y7zLfjitmktEH3OGVHrtJ9n/XfeYez9k9niSxjduZ2bh16NC9tClylk8OiZWR6aRSEEO8AvYFvvJtuFkKcIqW87RDDAP+V4M3A60ASkAH8BdR7cIO2xT95G3l66HXY3Q52l+9nUd4mHPXMAA4Hq7BydY/L+CnjNzaVzG204x4JYzs+TVLEBLLKvmdn4VP19ne5dtfbpzUjgJ9O/hcuj5tbFn/HpvLNPD/ich4dcgGPDIFKlwOb20mF006Zq4qksFhMCMZMf4lyb0X2pLAY3jnmIp5dvpANBfvpERXLNQNH8tqGRRTZaz/AmITgjRPP4oXVC9lakBeAK/aft7Yu5MPxlzK2Q3de3DiHHbZtgRapPXECMFhKbZlBCPE5sNGfgf56h+bjzQ5j0H7ZXpbOjStf4cZeZzIstjendh7JIxs+w9VIQUKXdjufKredn7Nm0Ce8/v7NgUkEYRbBJEddSXLUlUxPPY9yV2ad/R2OwOY4bWpeHjeFcEsQ4357BZvbSUyEh3vWfIkJE2Njh9A1LIYOIZEkhEQQGxzGrrJc7lz6Y40CBHh87R/c2O9YXj/hLASCqKBgVudl8vXES3h2zTz+SUtDAl0jorjtqHGUOx18u2MDooXn+8+qLGHy7Pc4PWkgbxx9Pv+3+lO2lTZPSFHDaBFB7o3FdqAbUO1IkAw0XpygN1/ou0AnKeVgIcRQYIqUsv5HY4M2RaGjjOe2fosJM08NvZYLuh3Pl6mNk9dzVOxwVhauaZRjNQxBaNBYzOY4sGuZcZbm3Ed8fjlWUzzHdVvClJSf2Fr0NWsL3jhotMdThr1qfjPL3Hz0iopjSsog7lj2AzZ37dyxHjzMzvZtIXG5aoeeuKXk3W2LeH3VCgbHd6KwqpKsqlIu7DWEh0ecROfxkQSbzTg9Hqbt3Mjt86Y32TU1NhKYmbkFt/Tw6sir+SZ1MVNTF/uduLvZaSPLoUA8sFUIUW2LGI0WPF/tzDmlroH+Lod+CNwHvO894AYhxFTAUILtFLf0MC1tATf0OqNRlKAZEyHmYNwB+rHoHJJMn67aDM9mXwbFtVf7nZ4C5qb2o1PUQwyKu4ZNRZ9yYGjS/uxq++LBtszWwqDorrwy4gqqPE6ybUW8vf1vNpakAfDi0WexqySfvzIbb5mvptK8Gabt3si03RvpYImiwumgwuW7XmRr4K+sbZTKHB4adC45VSXMym6a1G0GNTza0IH+KsEwKeWKA7xDmzESxyBQ1JURf8yfD7OpqIDk8I61nC+qEzcDdIxRSqJLmGoH6QK/Sx2ak8NbIx9CIJi1/2Cngi2ViTVth0d9ZXNsStnoHUr0QffbbGpsdpVyTAn1FsFNCNKcXgrs+5iZdg7lTi1h8rBglUz7/YLj1LHLf2Za1s9AOKBSZY1IuJD9pa/jdOdwlC4BQHLMypr2HmdMTXtVpQpfWleSXNOOtCoHIr1jjEUohw69g0a5TfWpcqh7Exp8cJUP/eekJyFCuwcWk4V3x1xDpi2P3eUZ9AjrwSfjbqTMaSPYbCXIZOGCuR/XisSy62Z5Dt35g3TFfD26JN4mnReoPrjeUalky3OVggBhPaCYb7Tq765S56ou1Ct1UfzSqu6XW/lPYdKdM1xX+Dc+XJcwwGr32dZ/Hl1jimvaeucZvTPRsuwifgzfxKDI3ny3S9UkbFG0nZngKg5d6ahO/FWC+UKIXnhvmRDiAiD70EMM2jrhlmCqXA7CLcFUuPxPhXUgw2L6kxjakX+vvZ9iZ0n9A5oAiaxRgIfLhcn30SFyPFklLzayVM3LS0fdhFt6uGvtq3jwkFUaRYfgSC5OGcvWwgKW5Oyl0FFpVA89DFLLCjihc+9Ai1E3bUcJHrLS0aHwVwneBnwA9BdCZAJ7/Tm4Qdsm01bIwtytzJrwIDvL9vPIhmnstB9+9qJbel3IppJdAVOAR8rPGa8hKh7F7Smqv3ML5aZeZzI4JoXbVj+PR1f9Is9exlvb/8ZW1fwV4dsCQghkC8gu3Q4QUspKIcT1aJWOXhBCrPNnYL3uVkIIM3CLlHIi0AHoL6UcL6VsXek8DJqE57b8ysQ5z7C3Io9TOg8+7PFj44fSOTSBN3dObQLpmgeXdFLl2hVoMRpEfHAEn429nwuST+Dlbd+zr9LIdtOYCETLTardtkop+ap05DsZ8AHUOxOUUrqFENXFCltfGg+DJkGf/WLgL48zJ3MX53cfTlyEsulZTcrJRR/sXV3M9KLkiVydcibzcxdR6cmssdMB5DpUf33hXb1dRm/j0ieY1tv+9OTadMH1Ju2HqdomCNDNUljT3uZQ1SBidUH2e21quz4h9hKLWvJyhu6taae5VHD/6GDlLj8kRnnBfqqT8e8cFbwfYVX2qyKbCq7Xz8r09jaXLgF4oTdpdVy8uj59gHd1cdkPxlxHuCWYa1b8jwJHCVml6t6Vlapzduuk7k0tWexKltAQ9fmZTOqHXx+IXlYYpi7WobPhWVQfc4j6LKUupYnHoa7PGqHujcl7/Fr3oliXv7UOHaSXUU9OZYTP7bllarve41Vv+9YX6rXZrVjNEiHAYm6Z3qFtKGPMnTSw0pG/y6Frva6m04CaXwQp5U+HK6lB22R1wT7+N+ws3hl1KysLdjB7/zpy7L6ryQOc0GEEV6ecyVf7vmNWTssIjG+PSCRbSvdS4GidS9Etne2lOQyL60qY2VhObkqklAvR7ILV7/2udOSvEowDCoCT9OcFDCVoAECRo5IJs17hxK4dOTq+P2+Nupk717xFlq3goL6ndhrLv/tczG9ZiwwFGGAKHWUkhhg1EJuKrMpithRnc3SHBud3blrayEzQ6xF6L5CCTq9JKU+qa0w1/maMubahwhm0HxweF6sKd7GqcBdplXm8N+r/WJK/mRe2fQ9o9pH3R99G/6iu/Jq5gA/2/EKcUXUoYIyL78/w2F68u+vHQIvSpsm2ldAhJJKUD5T3cOqN9wVQojbJNOA94CMOs7iDvxljDk6PASXAKinlr4dzQoO2x5ZzHq9pd/9I+0N/O3UPX296lw9PuJApCVOYn7eJewadQt/IJK5Y+jJplXlAMHHBlTVjMytVMmj99rpi5/QxWfp2rUTRuvi6MoeuuGuEVtNuaJgKixhgVX87ubo/o/QqleBaT6RFyaWPZdxUkVTTnhSr0hd2syg7Z5FHXV+0WbX1dkB9YvLYUJVTMzFK1eMrqFT55cr1Hpxes53eDqiPhYsNsfHI4ItYVrCOFUV/0tF7+/T3K00drda908sSrEusXVyhbIX2EtVf2HW2v2B1fBGqxurdKjzlvuMZ9XZDy1YfefV0bhAiperg/YBFVwRYfx0DY5VDkL4w9PYSlUC+Y6Syr+rtg/mlql1VoT4DS7Bm2/w7Yzd39D+Br1Ztx+lpoU4yzYAQ4hO02n+5UsrB3m1xwHdoM7hU4CIpZZF330PA9WhK7Q4p5axDHN4lpXy3IXL5m4wvBBgG7PS+hqItkV4vhHitISc2aPuUOe3ct3QGx3ZO4ccJN9EjMoHH1v3mVYAGgcYjJRm2uu22Bo3D7MztpJeV8MqEMzCJgHtR1kLIxnv5wWfA6QdsexCYI6Xsgxbf9yCAEGIgcAkwyDvmHW+kQl38JoS4VQjRRQgRV/3yRyh/lWBv4CQp5ZtSyjeBicAA4FzgVD+PYdAOSa8o5l/zp2FzOZky521+TlsXaJEMvIRZQsi25QZajHbBv+f8RnxIGE+NPyXQotSmGUMkvM4rhQdsPhv43Nv+HDhHt/1bKaVdSrkX2AUcqmrx1WipPZegVZlfjRYwXy/+OsYkoeWJqnYhCwcSveETDU8VYtAuSAyPosBecVDSZYPAYhYmChzFzX7eMZ260iEsnD8y2k9JUrvbzQ1//cy8i//Fhxti6fnGywB4rGoKZS1REx13aO2p1Z47724eQY+MBCGEXvF8IKX8oJ4xnaSU2QBSymwhRPX6cxKwTNcvw7vNJ81RWf4FYJ0QYj7a8v3xwDNCiHDg74ae3KDtse9fyuDf96lXAdhNGSEnBhHn7EJ6WUkt20qhXcWN5VYo24re1tUpvMxnH4suzitcF5+lz63ZIbTCZ/uEuO0AWIWKSVuqi0fcWuX77606X6lVWPh07FNc8M8TOKW71rGr3OrPKj1crci8oysI3Mla4rN9XLwKul9f1rWmnelU9lK9fS5MZ0O0uw5eLXLrYudqxblJEzaXg45Bvci1q9+tInt8TTsyRN3TSoeydWUUxNS0TboYQL1hT5h8r48Jp4nskgoKy6vArQYIi85WGKEeljy6Asxms+rjGaRkq47T27+2s+qbre5RaD91f8uylV326D4qqXWPYLVE79TFW+oLNP+VoQokV+b6rvVlqlLyelC2TRNgq3KzJC2N4zv14MucdQCc2K0H1w8dyfbCfFbsyGBleibljmZKHN74RXXzpZSjGulYvqaWh5RWCDEYGIiu6rKU8ov6TuSvd+jHQog/0KajAnhYSlkd+Wu4ORkcEgnsLC5gUFxH0svaRjxax5A4oq3huFpqNhA/sLkdJARHHVgMo8nJqP4OtEPP4KTIKBanay5H3aNjeOWkSfxv8TySIqO4evQIXplyBjvz81mSmc781L2szm7ieoSBD5HIEUJ08c4CuwDV6/MZaDUBq+kK1HkzhBCPASeiKcE/gEnAIqBeJeiXTVBo5SNOBo6SUv4CWIQQh1qfNTCooWNEOIPiO/JPZtvJtHdVylmAFmzeWqnyOIkL8p0dxaBpeHnZYu4dN5740FBuGz2WLzat49edW3lnzXKu+fZHxr7xHi8vWIxHSj6acg7doqPrP+gR0MyOMb6YjmbPw/v/r7rtlwghgoUQPdBKtqzwMb6aC9B01H5vSN9R+PmY5a9jzDvAOOBS7/sy4G0/xxq0cy4YNpgZe7e36vpwB5Ic1pmpqX5lZWqxrCrYyZj4voEWo12xIjODn7Zt5tdLrmBsUjKfbFhda7/D7WZ5WgavLlvCwn2pjE6s0wzW6hBCfAMsBfoJITK8ya6fA04RQuwETvG+R0q5Gfge2AL8Cdwm5SGLjdqklB7AJYSIQptR9jxE/xr8tQmOlVKOEEKs9QpYJIQw8gAZ+MWFwwdzyy+/Yi3Qvm57UbFXwVHKtqPP/aivR1dXkVq3zvYXYlH99fXd8quUzbFftPKE7B6UD0B/7/8AcytUfcDVJd1r2vrYxL35ms0sOawzG4oW1MQnVjrVn0OQTpbfc4fUtPW16R5I+sPnNTmlkn2PRWVySdJN2PR2VL3t1OM5+Jk2RHcfo0OUfSvE4uKHjN85p+vRmDHj9sYX6+s+rs9SsY/B+vqAurp9yZ1VRqDEcBW/uCFHjS3LVJ+fcKjPzFKk7pkzTpcvNEQtMVt0+UjDw9T9c+rsn9U5ZEeO912zT58LtOuA4pr25pIuqpNuwlXqUjGnAIOjhrGpdB3do1WVEH3txspiFR8pw3TX4fI9x3hx21wWFO5kc1EOtkhbzY+wI1jdD1OQm2XFqVw18ij+Km5CB6JmXMiQUl5ax66T6+j/NPC0n4dfJYSIQSsAvxoo59Azxxr8nQk6vTEa1fUEO1BnWloDg9o43W5CrL4DoFsrI6c/x1/ZG+vv2IIpdJbhlh76RQ0KtCgtmlM7n4XJ75/K+pHA8tx0yp2HXhn5btc6iu1VTEjs1Wjn9ilMY70ChNdc96yUslhK+R7ajPJqfzOd+fvJvgH8DHQUQjyNZnB85tBDDAw03liwlBcnnU5UcNvxhGgrS7ulznIGRB1+Cay2zti48QyMGgrAKzuerFVjsblwS0l2ZSlBZr8qArVbpFaw8Rfd+1Qp5QZ/x/vrHfq1EGI12rRVAOdIKdtPkI/BETFj83aGduvMIydP4L4//gy0OAZeeoV3JcQcjLkRZzlthatTbmZ3+Q62lPr9W9qk9Pjq2UY/5hE6tLQ0lgkhRkspVx7uwEMqwQPSzuQC3+j3SSkPjP43MKhhx3/vqmlfP+1nrho5DDwCU4V6srV7lP1F6OLGXLocjzaL7xlkVIzKuam3jenj5eLCVJ8yna1ng60bAFVSLdNm6OL49PlK9TYll87Oo7cLhQYr25W+jqK+5mH3cPXnstGuYgCrPL6XivUxapmVMTVtfaxkz2h1zGr7Z7/IZF4adgthliAqXHZybWXsLstnU3EmW4qzmZI8lBO79CXSEsK+ijxe2LKYcneXg2TXU5qv7m9wtO/8GFkVulqExcpuWStfqO6zcUbrcofq84vqcorq4xD1tQv1dAzXbHWVLnUfk8OV/U5v091XqPLAWnV5T1OL1Gdvd1pgBOTbgvh7j6rvWBdBkbpctbq6gfrj63Os6m3G+vtdEqFsizWymMroEOI7JrFRCHwx3MZiAnCTEGIfWrk/gTZJHFrfwPpmgqvRVnsF0A0o8rZj0PLr+hWl77UnrgIypZSThRCPAzcA1RGqD0spD/IU8JVw1aB1khAeRmGlrf6OBkfEhckncHPvySzK2c2rW/5mTHxPjorvSq/IBMZ2SCHcEkxeVRk/p6/g893zKXfba/0oG2gsytnN+E5NaIvzkzn7N/PSiCvItZUzP2sPqYEWqOUyqaEDD6kEq1PRCCHeA6ZXKyohxCS0/KH+ciewFdCX/H5VSvlSPeM+A97Cj4BHg5ZNenEJ/xrTWMkkDCItIQyPS2FAjJmeEd3oFd6dDsEJhFmCeX/3DN7cpFWu31qcB7uXA7UrqUeEtA2bZlPxyJrfefeYiwMtBhuK07llwU/cMHAs/x15MjHc2bgnaDvLoU9JKa/UbxBCfAlcWUf/GvwNkRgtpby5+o2UcqYQ4kl/BgohugJnorm6HlYCPCnlQiFEyuGMMWiZrEjPxOl288XF5/PTzi38sWs7NpcxA2kIcUHh/H7i/QghcEsXFa5K0iozmb1/A7NzVpNvL6GusBID/yh32pnyd31pL5uHVXkZrFqQwY0Dxzb6sduQTbCWi7N39XGkPwP9VYL5Qoj/Al+hPTtcgVZp3h9eA+7n4L/K24UQV6Etk95TXUPqcBFC3AjcCNCtW7eGHMKgmbjgy285qXdPLho+mAsGDOLyX6YZcTYN4ImhF5LvKOOs+S/5tAkaHDkrp9zH/Oyd3Lj420CLUkNKpO+6lu0Zb83Bh4FQIUQpKueoA/DrKcZfJXgp8BhamIQEFqKyxxxKwGp73mohxIm6Xe8CT3qP9STwMnCdn7LUwpul/AOAUaNGtZ3nmraGSeKQLv7cuYM/03byxbnnc/vIo3lj1VKf3aWuQqo+iD4qQSWq1ju9zDvpZd7Z9QO/Zf1T4zhiFqZaAdxdQlS7OmFykFCOCfrEyXURF1Xpc3t8mJJLX5g2zKIcZk6O2VLTLnT5TlcWafZdDPbouL017QHRCawoXM7wDpkEmdRsukOICnQfGZ8BQHql+uHckteppl1crpwwYiKUrbbSo5xPInTB6fpg+SCraofUYU8MCvftLOKIUD85boe633onJ70TSWGpUuz6BAoutxqbURwDQP8ElQyhxKmuLyms5KC+ABWVdYfsvLxxHvcMmUC4JagmHMZRqQtmt/h2ILKEqe36BOSxweoeJ4UV17T1Dk8xweqz357XoaYtK7V7llvaBDb1Vv6LKaV8FnhWCPGslPKhhhzDL99oKWWhlPJOKeVwKeUIKeX/+ekZeiwwRQiRCnwLnCSE+EpKmSOldHvT3HzIoetEGbQxPFJy96yZXD50KDeNGE1C2JHPYF7b8Q0ZlbmMiRvElT3GY0Kw4vQn6RLSqf7BrQiLCCbSEsX2sm2BFqVN8+7WxQCc1KXlpJXLKG/k5PONmDc00MuqUsqHhBBThBAveV+T/R17SCXo9eI8JIfqI6V8SErZVUqZglYleK6U8gpvtvBqzgU2+SWtQZsht6KCa375iV6xcfx9+bV8cta5TO7Tj2Cz78WJQXEdWXjBDZiF76/srP3LWFu8nRGx/RgYnYQHyeMbfiS7qm1UTreIYM5LfpB7+n9LpbuSzSXGn0xzkNCU4QmHSVZ5M5f7aEUIIZ5Fc8Dc4n3d6d1WL/Uth/7Lu85a57nRlNvj/pxMxwtCiGFok/FU4CYAIUQi8JGU8gzv+2/QymMkCCEygMeklB8f5rkMWijb8vO5f84sHlswh1N79ubCAYN58sST+X3nDt7dsJyMcu2rd/OQMTw0+kTKnQ7c9ZQuem/3TzXLob9lrqF/3CG7txou6vYIiaF9+SfvG77NWFCT69Og6ViZl8ZfmS1nxp3ZFGXIWvlyqI4zgWHe1UWEEJ8Da4F6l0jrU4IfUr+b2Yf+SCilnA/M97Z9uq16axSeoXtfr93RoHWw6776HYNT3n2JTuERXDHoKH674Epmpm1jeuoWHhp9Ip9uXs3jy+dgjVAB0TJcZyvUJafu3lGt1Jt06zQdrep5rrqYboVHlxy7QiWszrWpGUCsLvF0pK54b7kuabbe7jQsIq2mnRykZIkzqWLCeltkikX5mO13qz+3keHVdkAT3cOHMCfrCfaUzyfWquxFxTrbl/5aQ02aHSs5TPmbHddXJZjeVKGqE+yr8P2koA/Kjw+v8NknwqJsf/0j99e09Z+HPlhdv70uLLoA8kyrymytT1KuT4hQnTg8yKxshsmh6rrXF6trTYhQn0GmM8bn+YO9Ns/rln6M2yOweH8lLVHqe1BV6TtwX580waFL5O4KUisY20tUAvnCSmUK0CcF19s8LTHaPeuU0AQ1C9qOEgQtfr36D87vGlT1xQn+7wgEMjA4bHIqynl5xWI+3bOc6weM4e3jzuXWeb/y+97tgRYtYPSNvgyPdLKnfH6gRWk3dAiOZO5p9zLwl8cDLQqgLbn9e+BxfB9oQVouzwJrhRDz0G7X8fgxCwT/vUMNDJqVIruNl9YtYHPhfh4YOYFl2ekUVPn2zGzrJIQOp9JlZChsTuaedi9zs1tOeuSbBxxLqKXxK7EE2qGlsZBSfiOEmA+M9m56QEq5/xBDajAy5xq0aGambWdPSSHHJ6UEWpSAEGyKpXPoOPKrdgZalHaF0+PmsfXTAy0GAOM6pnBl71HcsfSnQIvS0hmH5kNygrftF8ZM0KDFkHrLvT6337j4Gx4bNYnFJVsRQWo2GGp1+uxvcyvbyegoFV8XZ1F2LX3x2mosdSSPrnKrvvo4s+iw+uO2tlcpR+hRYXtq2hNC1Myu0KOPtavtAXh04hfY3bnsLLiFFO9l6WMJ99qVfVAf52j12hxDTOoelbiV/alnqComXGBXtj+9XW1QtHqQ1ttT9cRZlI1NH/vYI1wd/8AitdV4dMmb9cnC020qtrHMoeyJNrvvmVCnKO2ehZrVteY7lCz669hc0rmmHayLd7Q7a38fbl72JcWOSqwW5YilT+AdEuY77ZxeRrMu+ffucmVvdlapc3l0sZL6JOImp7o39x0zkcf+mEfuTiO1RF0IId4BeqOKPNwkhJgopbytvrF+zQSFEH2FEHOEEJu874d6M8gYGDQ56wuzsJrMnJxYf0b/tkaYpSs5FbMDLUa7ol9UZz4+5hpCzIEvBG0Wgj4J8SxJTau/c0NoA0V1vZwAnCal/FRK+Smag+WJ/gz0dzn0QzQjoxPAW7DwksOX08Dg8Dmn+xCW5+3jp33rAy1Ks+P0lNAj5jpOTdnECcnzGd7xbXpGTsGwZDQd53QbDkCV2/dKQ3MSHRKC3eWm0tkEsrShYHlgO1qlo2qSAb+KQfq7HBompVyhVbGvwch+bNAsnNi5D5/tWh5oMQLCPxmnAxAddBRdIs4kLnQ0ozvex4iEO5mZfhXYjWoQjU2vyA71d2ombE4nwRajsrwfxANbhRArvO9HA0uFENMBpJRT6hp4OAm0e+Gd9AohLgCyGy6vgYH/JIVFI3FhMbtr1b4L0ceF6eLhsqtUxa4cpwoX0tvHqok262yMOptSx1BlP9THDOpjuQrLlY2tJEzF6+ltj33Myh4VY1J2r1UO1T9Zd01dLeqROsxUXNOudC+iuGQRxSWww9mZU7p+zWldP6I89VpO6/oC8cF9KXEW8MK22/DgJswbv6e/Pj16++DE+C0+t+vH6u2Q+vyi/uRA1d+PXKf6bCrdarlRbwfU53iN7KiOo49n1BdRziyMASCnVMVYDuqoMgVZdDGZPSJUTKb++5NZpr4nD67+kcQw7Zh1FfLVx/HVQjcj0s8SHOW+j2MK0tmhdcWmhdcmaHe6MZtMBEdZmmw22EZ4tKED/VWCt6Elqe4vhMgE9qJVkjAwaHKe3PA7z444l9e3zmVewaJAi9MC8DAn4xrOSpnFZb1+odyVy0/7ruOMrm9yW+9neXPX/YEWEIDYoC4UOVrfs3Kho4JCh+/kAI1Jx9AIrh44jBOSetE1PBoTJvaXl5FdXsb+0nKyy8rYX1ZOWkkxJ/foyW87miBWto0oQSnlgoaO9UsJSin3ABOFEOGASUppJLEzaDYW5+7mlmVTeWPMxdi257GsoP0Gzlfjwc5vqafjFImUu7TZ5hs77+Oefm9webd7mJn1RIAlhBt7vc3L2y4BmqD6QSuna0QUP595JTPTtvPI8lmklhXhKbbQJSKSLhGRJIZE0iUyktFJSeSUlxNkNpZED4UQ4mjgTWAAEASYgQopZdQhB1KPEhRC+Mx1VW0blFK+crjCGhg0hM3FWdy/+ideG3MRFy9+jipP4J0WAo2HqhoFCFDkzOOjPU9wY6//Uea8kkV5XwZQOrCYgogN6kKxY0/9ndsRxyf24H9HT+S9jcv5ZMcKtcMeRKndzvaCfEwO5X/hI5qnURC0CIeWxuItNGfNacAo4Cqgjz8D67u91Yvs/dAMjdXRo2eh1RQ0MGhytpzzeE17ZcEOxsT3Y2HeJortKv5sma17Tbt/jKorNyA0q6YdblJ5K9dWav1zhLIF2XQ2Kn3MYIRVOZ8kxynbo1NnF9Ln7dxQmVzTnhCp7G169jhU/ki9rdCKUu7hOke0Qt0vYTeLijHc6K5dhiq1cis/pL/DBcm3srq4ipUlvv9MSxy+c47q4/v09ru64gR3VKpSVXrbW47XLjs/PwQhutZs31mknE7CdXlYB8QoG1513lOAcnT1DXV5SnM8yv5XXetQH+u3o1DF5fWPV9en/1y7hKp8ry6P8rbNqmPy4NbVtYwIUbKE6b4f+vymNof6PrmCtO9Kx9AI3jpxCnctnMGcjN2AidRrHvB5Pl+I/7vH775+0XaUIFLKXUIIs5TSDXwqhFjizzi/cocKIf4CRlQvg3rLJ007MpENDA6ff/I2c27Xo1lWsA1pVFLwyZri+VhNvbit9zV8nx7C37l/BUSOcxdrccphRkoOrCYTJyX24ap+o5iXscerAA0akUohRBCwTgjxAprjpl91sPz9enZDK1dfjQNIORwJDQwag9+zVjE0pgfvjrqV/278hHx7E5SXaQN8m/4rle5KLut2KRtL1pNjb966isGmIOweI3yjY0gkV/Ycx+SkYewpK+D73euZsWtH/QObg5YR39dYXIkWPHs7cBdanOD5/gz0N+L2S2CFEOJxIcRjwHLgiwYIamBwRNg9Th7fNJV1xXu5KuWUQIvTopmeNZv9Vfu5KuVav/pP6HAsJ3U4n1Cz77AHfwgzR/DeyC/5dtyrDT5GWyHCEswH464iyGTh4r+/5JK/v+KnvRupcregEOu2kzFmBCCllKVSyv9JKe+WUu7yZ6BfSlBK+TRwLVAEFAPXSimfaai0BgZHyg9pizi2w2BMiPo7t2Ompn1Jn4i+RFkOXV7t3KRJ3Njrco7veDaPDvyU/w74mPOT/nVY5wozh/PSUW8DYHPbuaHnRQ2Wu7VjQvDCyAtYmZ/Ks5v+YG+ZUQWkiZkC7BBCfCmEOFMI4fcivF8dhRDdgHzgZ/02KWUTJbQzMPBNdaHSfeVlSCmwkEC+vYyoYBVUnVmpfvB/dw+taeuDsLeXao4pORXKwULv4NBBFyyvT+KsJylC71jh24U93RmvZNc5t+iDzHc7dRlKrHk+t5cc4ABTjT6gXR+UHhettVcUQqmznMcHPsXywi1sKNnF8oJNVLnLsWDhxt7n0zO8O30ik3hl2w/8krmKxJB4Luw2nnO7nsTWsiqmpf9NulUFs0da1b3OsekcVMK6IBDcuPIJTul0EmcnHUP3sBSuW/IRLrTkz2UVypmp0KOuKb/cdwFfoVuv0/eplbzc64sSG6y26QPhK13KQaXIrpxeLDqnKJdU8wF94WR07VrJvHVOL+VVyhnG5U2mcP+QkzG5g/nP/IW4pGaa2nddy4jfrEXgZ3CNgpTyWiGEFZgEXAa8I4SYLaWs90nO3+XQ34EZ3tccYA8ws4HyGhg0Ci7pxiKMHJr1EWYOodRVzqDoXtze+0K+Hfc0HYJieHjg9ZzUcQwlzgqe2PQlv2drqemyqgp4fcev7K3IYkh0L7/Pk1apBcbbXDZe3zGdq5e9Srewjiw67XGeG3YJ4xL88lhvsURaQlg96Wkmdh58yH7ndh/KxMR+3DL3V1yyZVd+aEO5Q5FSOtH00rfAauBsf8b5Gyw/RP9eCDECuOkwZTQwaFR2lGYzLqEPP2esCrQoLZazE09DAves/x+lTm0m89mYR/lozP8AeGTj2yzJT/U5dnd5BsNi+vp9rjCTNssLtgQDlaTb8pm04DEmdxnPlT3GM6HTQORIeHjVb/yatvFILssnjwy8kWe3foJLNo3NrcxVxbL8XTw//FI6BM3i890He+B3j4jj/iETuWLBF5Q4qnwcxaApEEKcjhYnOAGYD3wE+LUe3yDnZSnlGiHE6Pp7Ghg0HZ/v+YdHh5zLrxmrAy1Ki6VPZE+ybLU9Q+9d9wbj4gfyd84ynNIF+M5ruaF4Fyd1GkWoKQiw++xTTfewLrxw1F3kVBWQU1UAqDjEaWnLmZamzTJv6zmZ50efzWlJA7h18TQaY55kFibMwsSrO75qMgVYzW0rP+WBgWdx76DT+CNjI3n22smzOoREUOlyUO489P1qMbSAGVwjcQ3aDPAmKeVh3Xx/bYL6zDEmNE+cvDq6Gxg0GXZdAutlqaXEjYwkpCqREqmC4jvGqoDvnmGqvaNcBXZX2wJrBTTrAqb1NiI9+qTZegbGqswt+kTdGY44X91rsdfe0ef2HbqCvJ2syv7orkO2rkHK+WJNRQoAKeEdybbtIzmsSJewuoA9ldvo6TXnlbuUEixyqNCqraWrccsL+fHYF8iwZXP/+qfw4GFbsZI3NtjGKZ3GcVufS1hftJv71n2Ah6DadjUdX2b+wLry1Tx31A3MnXwTVyx9XjuvTSlNfcC5/vM2mXQFbp3qc3t+2OWkhCdw1/ona7bpr0lvyyur8m3fDbaomFNrHbJX253f3T2N3zPXMve0e7l26fskB3fFLEysK8hgdX4av6Zt5J1jLuL8uR+z44JHfB6rRdAyvDqPCCFEfynlNinlJUKIYL0CFEIcLaVcVt8x/DWoROpewWg2Qr/WWw0Mmop7hh3Pn2nbyagwYgV90SWkOwlBnZmT+0uDxld6qrhmxf9x65qHiA+K5YWj/uOz3829L+SPrH+4Z917ePyY220s2ctlS54mLiiKt0be3iDZ9Dy85mfOn//OER8nMTSWW/ueykdj7uHtkXdwa+8pDI7u4dMDeVNJBifOfpJNxek8MeJMHhs+iZ8n3kDn0Ci+3bOa5IhYwi2+Z9gGjcpUXXvpAfv8+lL4uxy6RUpZK0OMEOJCjKwxBgFicEwSZ3YfwGm/fRRoUZqc3hGjKLPP5XAe2zsFJ3FX32fZXraOTNveIzp/oaOYu9c9zmvD/8czQx7i6mVv19pvFRZm5xz4+3NoSlwV3LjiVT4/+j4uSD6OD3c03K5rcx95UP6/ep3Ehd3HMTNrLS9vm4ZZmBkR25s7+55LXFAki/I38Wf2SraWKof4Mpc2M+z7w5P0iIinZ2Q8pyb1p2t4DDFBoZyS2P+I5WpqWoJDyxEi6mj7eu8Tf5XgQxys8HxtMzBodPr+qJa5QoNhaEwyTw07j6dXz6HY0TYqFPSOHMfR8RfRKbQnu0umsb7gFToEdePi7v8jypqAw3M3hfa9VLryKXfmklu1ndTyutP3HtfhTEqdxXy097lGka/IWcK9657k5WGP8dbIm7l99XsAXNbtDCSSfRXZHK6LQYYtnx/SF3FDrzP4bOdanLLhafDigsI5N2k4P2fOOeyxg2OSuCTlWC5Z9Br59rKanKabSvbyRepsEkPjOb7DUJ4Zej0vbZvGrvJM+oR3psJlJ8Rs5doRJ9MnqgObi/aTWVlMRkUxl8z7lDUFGbwwpoUvmLV+JSjraPt675P6qkhMAs4AkoQQb+h2RWFUljcIAAOiE3l99OW8vOVPFpWtIc4bhleXDer39EE17XKbsgd53NpDYlCQrqBthHJyyK3wnTVFnzhZj0f6fui06pJKb7Ml1rQtwk2XkBTOSryWbmF9MAsLWbZt7CyZTb/oS4kJHkmHkL6U2NezJONC+sTcQrilO9Eh3TCFDWNI3AUIHgMkEg8uTzmVrjzKnelUunLoEXUcG4qXEKuLHUwJVjGFehtjvLm8pr20QoUxbClXNsk+4blANh/s/j9u7v063xxzKx7pITkshS9TvyUiqJIgs/o50dvk9FTo7HPhQXbe2z2dMxPH8N+hZ/DM5l+0e+ZNjl3qqqqVFFtPTHjth5/ooFCu63kO0/akklFZREqsso/q4wf1NsG4MO1+nNNtAGmV6QQHZZDkFfvnY7XZ7pg/H2ano5ydJUvYV1HAecnj6R7WkXxHPvFBsXikm492LeT+detweZX4itONPCLNSFevbhK6Nt73Sf4coL5HtyxgFVo0vt4FrwwtP5uBQbNhQnBlz2P4Ys9iZmSuw9KKS6ydk3gjY+NPIacqndn736bAnk6WbSvR5kpyq7ZzXKe72FfyEXuKXwJgb+GDNWP3u7Ug7xBzJywinDBrIrHBg4gI6keENZmEkKNYX7yYnzLeI7yR71GBI5MXtj3GNT1uIdgUwv0bHiO7an/9Aw/B5tJUekd2pkNQJP8Zch5HJ/TBLSVX/PMha/P987/bW645QH127HVMnP3yYZ3/54xFnN7l/zALE+5DxPUtzNvMwrzNgJZMQXhX2zLK6i1Z12JpA8uh9+naB66p+7XGXl8VifXAeiHE11I2se+xgUEdRFlDuLzXKC5KGU6Rs5wXNv0RaJEajEVYubzbHQyOHs3fOdOYk/t9rUwvAFtLfmVgzGTiQsexp7juY1W5tdCHctcecm2LcEil8VZX9GgK8QHIrErj6a0PAVDiDK2nd/14pCQlvCO/TXiA/bZi7lzxLRd0H8WX4//Fo2t+56e0DX4d57mNM3lwyCQs4vA0f3ZVIU7pJMYaRYGj2O9xsg2sJbb2S5BSfn6kx6hvOfR7KeVFwFohDn5mkFIO9THMwOCI6f39UzXt+4+awICYzty+bBp7bK03U98ZXS7j+IQzcXjsfLL3KXaWr6+zb6g5jiLbn80oXeD4dM+fPHfUjfyRtoaXts7A5rAyP2c7Txx1Nk+PPItHhp3OvvJC1hdlMT97J//s912G6Ou9y3hwyCQeGHw6X2ccXkHhIkcpcUHRh6UEDdoG9S2H3un9f3JTC2Jg4ItbB4zn4h4juGHBNNbn5WEJVramYKtanChyq2ifggrfZcRcdjVDiInR7EFhQcrGp48n0+cizS5WOSb1sWojOqTXtAeHZ9a09XbAfJdm3woxRTChwxQ2FLzGzpJv/r+98w5vqzob+O+VZFneM3F2nITsEDJMSAgjjFAIEMqGQgulhdKW2bLa0hY+oOxSSimrrDLLJhDIALIXCdl7OtOx4z1kLet8f1zZ9yZRYieRh+Tzex49vro65+i9R7Lee867CAQS6BV6u9EJZuX1klA+TV/dVjITzqQm+AQAa31dDxoTINth2jH7xpvbklekGxXLl3rMYsPWPKNWNnk7hT0/Js1UNtZrssYjeoJmvN5at2nz7Gk3YyWt9sGAZbVaX9i3LLCJS+f9FYAkJzgdxuf69Kb3+fuGL7ik+4nkZfVmXOc+XJY7DIAzpj5Jhd+w9dXbDR32Oj7dsZxAULGlxMzZ2hhxYqdjfBZFnqr9YkUhxu17MRAnGAkOGyeolCoIHf5GKbXd+gB+0/ziado7P+rWn1/N/pgl+3a1tijHRK/kYQSVn40VbzepGPCqoltxObIZnHVfo21jGXedj7fz53HHD29x0awnGDvtz5R4q3gq7+CMWDaEt7YspMrvoYOr6eWg8jL7s8O9t92tAiXCj2ilqT7N44F7Dzh3XphzGk1EKfG4SXTENd6wDdMloT8TutxCmXdtk/sEguWsLn6CIdn3sqYkMmEOscJfVn7Ai6NuZHR2b5YU5/P+mb+kb2oH4mx2FAqb2Liq14mM/fqJJo2Xl9mfRSVNsztq2hYi8hyHWc8qpW5rbIzGbIK/xljx9RYR67ckBZjXRDk1mqNmeeluzu8xkJl7wtuB2jouWzLX5v6Nct9e5u6944j6bq/6gCHZ99ExYRzbfasbzg9MGcOELjcRb0tkTuE/WVfZPmyH9Swvy2fyrhW8MPpaynxu4sTObQs/ZlXFdsp8bjKcicw89/fcPfgcnlwz7aD+Z3bqT4W/lt3+tSgULnscNbWxEW96xET/dugxZ89vbCX4LkZpikcB675MlVJKV4nUNBv+asOO9OIPS5l+6c95+bTL+WjLSuaUrMcfcmOv9ZgrRJst/H9zvCUOMDvTjIfLSjQ8Mh1i2viqLTkr/Zb6gKmJpn3QmmvUyrclAxuOrXall/P+SIW/irtW/h/9kpKBg7fpSix19WqCljyXwQRKvRsZmfMkeZ0cCIKnrhaXPYE1FUuoCpRzRue7ODXnNl7Pf5rpleZ96knJRlHtE135DefW+EybnTWnaWnAtKFabXZ+y/HwxO0Nx3v9po3Umif1R+mmonaJaWstqTNtmLMrzKoUNouvncthfk5+n/m+CXHm+EXl5jgPrP6QC7sPo4MrhZO+fKwhewtAmc/NH+dN5fFTzmNPmY9Xlhm/kyd06MRfTz6TeLsdm81GavxlfJm/ji5x3ZlRVMIXpz5He6MlQyRE5E7glxiqdxVGofZE4H9ALpAPXKGUKmvqmM3uHaqUqgAqgKsBRKQj4AKSRSRZF9XVNDc1AR/nfPEK5/YYwHX983go/Uf8bcU0Ju9a09qiNcotx11Fdnw2v1t+9MVUv9n1KwZm/ITllXZKfMUMSjuehSWTqA4YBYKn7v2AS7vdyC963ctj626jPFASKfHbPNV+D7vcpfspwHo+2LSaREccfx19Fl0SUnHabZzd8zieWjSXjzasRgH9Omdwfu4AFuzdwdw9+S0uf3tCRLoCtwGDlFK1IvIBRumjQcC3SqnHROQ+jMXWEZvZRKRDqN8gDB0FgFLqzMb6NrWKxIXA34EuQBHQE1gHDD5cP40mErgDfj7ZuopPtq5iZJeOPDziAv46/Dy+2b2Rvy79msHpndhQuZfaOn/jgzUzCbZ4bun/M/okd6dDfAb/3PQ8lYHKxjsegiA+1pS9wYLQCmpj9TqSHeYqq6auiv9u/zt/GfQSv+h9L09vbIPVyyPMTf1P5q7jzwLg+Y3TD9nujXXLKKqt4YUzf0y1z8fot1+k2mvO3cbyYjYun9vs8rZpWnY71AEkiIgfYwW4ByP95rjQ629i1AI8Gl+TdzBWlOcDNwPX0cRKR011jHkYGA18o5QaLiJnEFodajQtycqyPUz89mWy45P4ywnn8f3E31Hmc+MO+FhYlI8nGGBl6W6m7V7fKvL9ovdljMgYxOyiJXy3bzEFnpZxuHh162Pc0e9RUh0ZVAaavJsUVfRJyebrH/0agO+Lt3DrkjdDqcoO7Tj1Vf5GlhcVUBcMUu0/9kTbMUdklWC2iFhtdC8rpV4GUErtFpGngB1ALTBNKTVNRHLqoxCUUgWh3cajIUsp9aqI3K6UmgXMEpFZTenYVCXoV0qViIhNRGxKqRki8vhRCqvRNMr2G5q+okmKc3Lz3A/ompSGyx7HgyPOo8Rfxury3aQlhnd4qLcFWmMDrfGF+9kb7eYvhcNuhjfM293bbBOKHzw+dQjTCpbz6NpJAKRbXPVLvabtr3eyWefQn2jawKqCZgaWle7uDcfpceGvozJg7PxsqtlFkXc3vz3u/3h0/a0UWux29biDps2zyG+m+tpQaf7uWOsoDk4z4w6Xuc14Q2vMYD9XQcOx1Z65L2ja746PN8NbBnQw239QPqrheFtNdtjrs34+9Qpw5KQnqPJ7MZSf+TnV54MFiEs2Fd6cnfn46uqor/KU/+u7wr6X5pgpVkrlhXtBRDIwyu/1AsqBD0Xk2gi+d/02UIGInI+xyuzWlI5NVYLlIpIMzAbeEZEijiCBtojYMbx4diulLhCRB4AbMZerf1RKHZQLS0TOBZ4F7MB/lFLaV1wTlm/2bGw4LvKV8LcRl3Dj/DfxEBmvv06uVG4ZdBpjO/YiwRHH3tpKVpTu4O9rp3PbwDNJcybQPSmLzPgkPtxxZGWFIsW72//F7f1iM7g7wW4o8DO/fi6kAJtOXVBFfZhNs6Ba1DHmbGCbUmofgIh8ApwMFIpI59AqsDOGue1oeFhE0oDfA89hFHloUn7rpirBiwBPaNBrgDTg/45AwNsxbIjWTLPPKKWeOlSHkOJ8HiNGcRewWEQmKaWaHmylaZdM2bOaTglpvHPqjVy/6GmqAsemCO0IX51zM966AHOLNrHHXcHA9E5c2P0Eruo1iuqAl1JvNXE2O9fOe4nttQWND9oMlPgKEYTRmePZW/Nu4x2iiNdGGcmrdrnLj7jvwj07uW/0aRGWKEZoOSW4AxgtIokY26FnYSyMajDsd4+F/n5+NIMrpb4MHVYAZxxJ3yYpQaWUNcPvEbmkikg3DGPlI8DvjqDrKGCzUmpraJz3MZSxVoKaRnljyzx+0fcU7GJu7/VKyuGiridxXEoXFhQvZmrh/CaN9fSoiwE4ZfIziN3cAImzCSOzerC4JH+/dGqJrVRQ3BN081XBe1zS7QY+2r6UIk/r2EUjTW5SR7ondeDWhR8dVf+le/fQJyOT9HgX5d6DPUnbMy21ElRKLRKRj4ClGLuIy4CXMWKGPhCRX2AoysuPZnwReZ0wKl0pdUNjfQ+bNk1EqkSkMsyjSkSa6vL2D+AeGnbkG7hFRFaKyGuh/eID6QrstDzfRZj6UCJyk4gsEZEl+/Y1reyKJvZx2eNIdsRTHfCQ7HDxjxE38ubo3zEu53jibA5u7HMpb5/0KCMyjjvsOPcNPYtzuw3izkWfUHfA/1iQIItL8pvxKo6cGfs+Z3vNRsZ3/mNri3LMfH3aswxJ60mVv5Yt1QVM3b3uqMbxBetYWbSXoR3D50jVtAxKqb8qpQYopYYopX6qlPIqpUqUUmcppfqG/h5t/PmXwOTQ41uMXcfqw/YI0VicYMrhXm8MEbkAKFJK/SAi4ywvvQA8hKG5HwKeBg7U2OHS0YXT9C9j3FGQl5cX/fkPNEfF5ivubzjOfesxqoBlxXv4z4l3kpucRbG3hl8uepkVZUZoq9Pm4InhV/Pk8Ju4f8mXfLx9Bb4SwymlV1oGfxp7OqNyupHoiOPOWV8ybetOIJ74bHNTJDvZ/B8rrDT/VeocpuOIJ2D+i3VMMPsOStzTcOxTZpsUm7l1OzJpW8NxRZ3pVLO02nRS8QXNviVewwnniQ1v8PyIv+GRi5laZpYBrU9YDeC0rGhzEswk3JsrTAcVq8PM8Ixc1lUaAfinZ25oOL/Na7axOtuMSMonHPZD7L9lOM25qfSbzjApzjq21xZzy9LH6NPBbG91mKlwG9fltcyjz21ZjifVsc9XTWZaPJQeffX6mCRGfjGVUh9bn4vIe8A3TenbVJvg0TIWmCgiEzACGFNF5G2lVINXkIi8gqHFD2QX0N3yvBuGx49Gc1gSHHGM69Kb3qlZ7HSX8syab3h9ywIS4s04Ql8wwB0/vMUNPc/lkbwLGZTeiT9/N5u/nHwG1w8Zzo6qCl5ft4TX1i6hvDa6XOtLfeUsK1vJL3r9lLtX/tB4h0Pw75F/wlPn43fLn6Szq2ODEmwJ0uIMT93d7qP1k9ifSp+XjPhjr30Ya8RAUd1D0Rfo0ZSGzaoElVJ/wAiGJLQSvEspdW29N1Co2cXA6jDdFwN9RaQXsBsju8BPmlNeTWzw4TnXoIDfzPqUVbWbDtv22bUz2VK1j8fzLuLK3iMAuGfmVD7aaY3vi74c+S9ueZUX8/7B6R3GMWvfzKMa44l1rxNnM7wqvytqmv00EnRxdeDVUcbKvsxf1UjrpjEwsyPTdh7+u6CJXkSkiv3XtXtpYtB9c68ED8UTIjIMQ+h84FcAItIFIxRiglIqICK3AFMxQiReU0q1/VxZmlZnb201H21ZxaKinSQ2YUP/y51rmFWwiZ90Hct/Vy+nwueBKF80uIMe5uybz2XdrmRxyfe4g+FrCR6OfHfLb7z0SerL3QMMBXj+7DsiNq63LhCFtzLNTAzVEzwW012LKUGl1EyMlDgopX56iDZ7gAmW518BB8UPajSHY03pXoZkdmTqzvXYLYm1nZZA97pQkuvATmPbrQx4YZNRiNaBbb8g2Phs005XX8AV9k/6fHyOGVjusyTftibTdlkKzdotibuTbGbcmzXg3Io1+N1qB6zyN6RJZFOZac/zB+zcWfgdk88eyjPD/8XH+cu4d55ZUSEuwZTdmgAg2RV+6zcx0ZTdWjzXKovTZvGclfBhxB3s4YvzBpRh8Lt7wF8o9ZXwx1V30D0JynzhCyTX+s24P2eouHKcxRZbbdF4wTphh7uE3pmpLChr/dR6bYoYUYIi8q1S6qzGzoWjtVaCGk2zsaemghEdmpQsos1hlwSS4npS6Tv28IYAQc6c8iwXdT+eh0dOpIMznc+2rea6/nkMy+7C7xZ9wle721bE0V0rrtyvEn2k2F5dRs/kcE7ommhGRFwYeUizQ1EG9bc/qRi5rhtFK0FNzBFQCoccNvqnzZIY161JleePhM93rqLYW8NjI3/MmE492V1dwZy9W3hwxIQ2pwSbi+1VpYzKbpKfRLtBiAnHmF8Bd2AovB8wlWAlRrKVRtFKUBMT9Hru6YbjO08/iaLaJoUItTmqfM3jvDGvaCujPjbr5Y3r2Z1XO13D4LRObKje3Szv2ZZQKOJs9sYbtjeiXAkqpZ4FnhWRW5VSR1UQUitBTcxxRpfjeGjxt6iAbb9MLi6HaQ8amWUkdd6QZHofbigyY95S4kybVm5G+PjdVKeZfaSzy8wd4bAkmM501BCORJulHJLFDmi1D+7xmtt3ZZbCtyVe87jca9oEwxEMmsYxu9OUa8aW3czutY33z/g5dy78lGm7jdi/C3uO5qYBJ3PNzP/isZQLLXSbicB311izH5p0TTLnYEaFWWS4a3x5w/GQBDOZ9iBXeOW7ts7cxeqeaFbEsM6rVYaqGmMOkhPNuYu3fH7EwciOnVhXuYsEl7YJxihBEUlXSpVDQ8Luq5VS/26sY3TuGWk0h6BDYhI9UtJZWqRDShvj+m8+ZHL+ev518mV0SjCc687q0o9AMMg+T3SupA/FgLTOdExIIcVx+JuG9oYoFbFHK3NjvQIECFWnv7EpHbUS1MQMAjxzznmkxbsY1qFza4sTFfxuzmR215Tz4IjzALh+zjuc8fVzbaJAcSR5Zu10suOT+c2AI8qtHNuoCD9aF5uINGx7hAowNMnDSm+HaqKK3u+apYIcTqsDSSIPn3E2Trth9/lowrXkvqFLXjaFgApi+f2ISTZXFfHChpk8MfIyxkx5AG/Q2C5dOuHhVpZMEyGmYiTifhFDJd8MTGlKR60ENTHB2cO6MqFvP8ZNfg5bnJ/xXQaSmF5LRoIZ45ceb9rw6t3wR2ea+Tm7J4WvyF7hNyPnEyyxftlOc8uw3B8+un5nrWnXS7MUxrUWuLXaB3vFm2nCMh3m+CclmynLrO/lqTP/hf1Oc5w4l3GDUGPJsWmNWSz1Gv0u6308PZMzuXf+1wS8Dhzxpi3NGovXMcmUpajGtA9a2VaR2XAcTDWValCZx2l2M2i/uyVO0JobtaPTtNMW+cwY6BKLjdQhB+bjB4fF/puaZH7Wbr8x15vd+ayr3MNVuWN4c+ucsNfQ3ogB79B67gVuAn6NsSk0DXilKR31dqgm6kl2xPP4qIncOPd9qgM+PHV+vtgv7ZmJTecN2Y8CdyVBFeT7ol2NN44BJu9ezqis3q0tRtshRrZDlVJBpdSLSqnLlFKXAmswius2ilaCmqgmMz6RB0acx+yCLSwrOdjbcOZZTzHzrKdIjzNWL2+Mepyb+1yNTX/1AVhWvBu72HDa2sd8rCzbwZD07vpmKAYRkWEi8riI5GNUJ2pSxgm9HaqJOrJdSdxx/Gn0SE1lcHpnvtixmmfXzA7b9sl1H5DpTKE6UEuKHf646u88N+LP/KjTKTy36UkqfbNaWPq2hTtgbH8mx8VT6q1tpHX0U+53U+ytok9KDpuq9jbeIcaJ9u1QEemHUVzhaqAE+B8gSqkme0BpJaiJKoJVTq44biTZjmRe37iIDRWFFHmqSUnykBYyfyXEmXa7rwoWNRzvq01iX20V58z4My+ceBMuW2/e2mnaAZOcZpxZ/zTTNmeNAbTa4+IscWvba0x7mNX25q8zA7TTMkwlY7V1jUjebra31MSz2g07OEw7mdUWmW6xM+50mzazcLF8Hp85ts2+v00tTjmgTrBZcq3aLb+Q1vp9VW4zzMAaj1dVatr1shLN+Mg0pzkH1ryj1mNrfcVNtTkNx/U1EmH/OoMBZc5xQijfaa3PtGEmxoXPgeoP2FlWspPj03JZW6aLcLf2NmYEWA/MAS5USm0GEJE7j2SA9rEHookZ+qRncvXAoby66gfmFG6h6Cji2dx1Xu5Y9gST9syMvIBRyF53NZ+eHzanfUyyvGwnwzK7N95QEw1cilE2aYaIvCIiZ3GEtc+0EtREFf+beBX/+GE+iwrahyNHS3D2p/8hJzGZH/Xo29qitAjLS3eQl5WLyx7XeONYRhnboZF6tMolKPWpUupKYABGlaI7gRwReUFEzmnKGFoJaqKKjHgXH2/UZSUjSU3Ax/y927kvb1xri9IibKsu5vvibfxnzHWtLUrrEzveoTVKqXeUUhcA3YDlwH1N6auVoKbNk/vG4w0PTfNw/4Jp5KZk0MEVPgYw1vjTsk/Jry7mpTUL6fX2o/R6+9HWFkkTIZRSpUqpl5RSZzalvXaM0UQf8XWgFA5LEVWrs0Yg3ry3CwbD3+fVF9XN62gmiV5Zajpq7HanNxxbE2VbqbU4rpS4zaTWlRZZrIVeSxJNBZMSZ47pCZrbclV1puONX4WvemAtRlscMB1srGN2SDD6Wp10ymvMBOHWbDs+n52r+p6Apy5Aibe6waJSp8KbVqzOMJXF5nXbLGO67GYbqyNPt0MEyOd7OzQc7/WYBYQznDVhj0sc5lwWVRhzkJJoXr/VkaeiypzTYMCcjxdW/sCLp1/KY8tm0B6JkVJKx4xeCWo0UUL/tAvp6BrSLGOf1Kk7a0sLOTgPS+xS4fPgsrfzdYBSkXtEKVoJaqKG0Z264w/WoaL4H+5oOa/rM5yacw8OW3zjjY+CL/PXMTCjY+MNY4g6FdQ1BjV6O1TTNun38UOWZ06u6T+MO4adwi++/bi1bfCtwoqyt1la8hqFnlVA5L0a312/gvtPPIvBaZ1YU9E+gsiv6zeS+XvzG54P+uwBAGqrzRsNFdh/nZB//b0tIVqLobdDtRLUtHEcYuOvp57J6A69+MnsN9hSUoEtZIoLWALR/bXmVzn+EAVxC2tS6JaYySen3cXNP9xHma+cREtC7DibadM6VMHcAo8ZhL5wX8+wMlvtgHWWorZr95lB4E6LjLV1plJLcZjv2zuhuOG4xmskfE6zQ6LNvFaXzSK/JXi/ym/YJXdXmfa15AQzGUB1rflD70z2EcRHqbeGCd2GsKq00JDLa8plPbYSn2qOmZ5sBu5nxZv2u+NchQ3H1mThc8r6NRxb7ZnW46qAaV+t9JnH+WWW5ARe43tQUpIeVkac5iavM8V4/+NSOvCTfsP58YwXSEj2HtSld2omgzJymLptM75g3UGvxwRtwKuzLaCVoKZN8+OeQxmc3pnLZ7xGdcALHP32lSB8ctpdAJT7KiIkYeyQ6HCytbKktcVodrokpvHy2Kt4fPVU9nmq9nttSHoXbhl1NoMycsivKuPCnoO46btPW0lSTUugbYKaNk2yI56VZXtCCvDYGJNtBIOPmvJHVDPeAg/L7M7N/U5vtvGbiwR7HAv35be2GM1KVnwSb5x6DW9sXsSknSv2e21gWieeH301U3ZuYOynz3PNN+/SJy2Ls7sf10rSNj8SjNwjWtErQU2bwRoH6Ax5/udl92D23s2H6HFkuOt8fF8cmbEOx/LSnSwv3dmktoKQE98RT9BDhb+y8Q7NRJbTCFeI9eoKfxg6ntzkLJaX7OK4lI70T8shw5lImjOBq3udyCMrv+aTTZsa2v954XSeHDuBpUW7KfXW0u/hZxpe23j/EaWobJvo7VCtBDVtkzqvnftHnE2PxEym7F7XcL5Lx/KG4yqPadc6lB3QWij30i4nkuqMJzHOhztwsI2rS1J4JeSua9wRpbzaEotmsQMG3GZfcZi3y3EJAUZmdefN036KM+ShePn8P4DDTAdXVWfawGZUDGw4znWZW5bWwrs5ceYW78AUY0xrodtES9Fdq00QoMTnZmXZHr6Z8Bs+276Ku7+fRGayWQA3xZJcfMMu07aZZLGnlVaacX+1GeZ1F/pNu2S2JRF490Tzs7HaWq12UasTULXfjMtMcJq20BqMa7F5wm9sWRcpD8ybQaU7wN+GX4RdbKwr2Uepx02ixDHxo3fYVV2Js8Sc95UrCvjKsZ5/5/2Yn3/wCXVaa8QcWglq2hw2EZ4acyHdk9K56pu3cdvCB6sfKf/c+Bln5gyLyFhN4Ypew6hyB/li27qwr7sDftaUFfDHNU82nMtqngiIJnH5d68xa8Lt1PjDV2CIBUq9tdy/cJrxxNs0+/JzU+fz0i8v5o5xJ/P0jHnNKF3Lo71DtU1Q0wY5IbszJ+fkct2M96n0R0YBAiTYndze/2IGp4X36ow0NrHx3OkTyXYlHvTaFbnDOT6jM1fOfL1FZGkqdSpIfHsPID+AoFLc8+7XXDBkAOP792ltcSKHQgfLo5Wgpg2yoWwfBe5K7ho2LqLj7vWUMbVgCd46f+ONI8D7W5eS+8bjFHvcB7328MgL+P2QJqU2bFGm797Aed0HNt6wnVFWU8vtH3/JQxPOpnNqSuMdNFGDvuXTtBmsgcgnf/Uo35zze97ZPps6h1lwVVnyWWYkhK+Ebs0buah6/1XfH5cb7u4pTqPNhkozS4q1UKs1F6i1QKvVNmaNK7Ris5t3xdZ8mo74/dvnVxu2y9Q4c8wOzvD1EbdVZzUcB605PU1TJP1dBQ3H273ZAOQkmTa4Mq/Z2GE3ZbHGWz6zdirX9BnJg3nn8MLWj8z2Fve/jAwzBtCaszXBZd5cWO16veLDF6+12gH3WIoAuxzmytkTMH+i1CFymdbbJWss54IBy1an1VZoORSfOV58sfmC9WO1pHVl9fZCPlq6hptG5/HQ5NjIN6q3Q/VKUNNGMUIiFL5goNG20US6M4GNl/4ZgMdXTW9laQ4mQJAHln/JVb3yWluUNskbC37g/CEDyE4+eIs7KomRUkrHglaCmjaJQrGoeBsnZfdubVEiSk3AWFWeO+3fLC1pm4WBp+xejQ3Bpn8eDqK0ppb5W7dz2nG5rS2KJkLo7VBNm8UutqheCXZNTCMnLZPvi8xyTf5g3QF5UdsenmAABeQmdWBrTWGj7dsTNhG6Z6ThCQTIfeuxhvP5P21S/dY2hS6lZKCVoKZN0i29nP5pWVSxmY4JprWnqNa01fmDpt2n1m8ab1LjTXtUQpxppyqtNrewOiYdbHuz2r2stfSsNsZKr2kDs8bd+T0W21WNIctZQ4dy/5hx9PvIUHqDO5mJqfskm3lBy/2mrW6fL3xRW6vd0EppICns+cvSlgCwvLxbw7micotDxyFi4n0+4zo2Vxbz4OCfc+aklwCoSDVltMboJcRbYg8tsZIBSy3EbZZagdb8pgHL5+dymDc7hdWmnJXV5nynpZg2YJ/fnG9v6NiVaMpitXMGHOaxzRKrGbTkePWkm6teKTe/S8q5v5a4vP8QasTPJ55VRD1R7tUZKfR+h6ZN4rTFkeFMpdATvbks/7NySYMCjDYeX/EN3ZPTW1uMNkd6vIsKrwe7xHZmnfaEVoKaNoldbAhCMJot7lHMrL1bCATr+PXgMa0tSpvigw2rcTkcvDv+J+QkhF+1RxOiIveIVvR2qKZN8rPc81lYEgNbTlHM90U7uaDnQF5Ys6C1RTkqMuMTqfDVEkmrcoXXw/VffcxvTxrFFxOu5855XzBv7/YGO2+wzlwh+qud+/XdfsM9EZQkQkSx8ooUWglq2iSjs47nrmUv4Qk4cNnNnzFrrFhXS67PSr9pt9temtFwbLUNWamPP7PmC11fasYMlhSbdik5xG1udYL5nqnpZkB8ZVl6w7HVVrij0jy/uSS74bjGUsTV4QwfexjvDJ8bNTnVtIPVBM1x3is/Cdg/9tHnNn+UnUmNp0brlpzOqhIj9rCq3LSnVlmTcVpTj1niIOfvym04dnQ3z6fHmXa9XkmmXXRy/mBz/FLzvaxxlsUFaWHPq6BxjX6bKdjiS28jOyGJ8754jXXVZpxi0Bf++2ArC58f1u6x5IHNMWyhCngt/zvWVG/jmVMu4f1tS/n3ujl61yJKaRElKCJ2YAmwWyl1geX8XcCTQAelVHGYfrcDN2KY8V9RSv2jJeTVtD4d4tPZ6yltvKGmWRiR1Y3clAzuXzglYmMKwu19n6Kjqxs7ajby0ta/RGzsAyn2uLlj7pesKwsfqB8JFhVv47KZL/Fk3mWMzOrOpJ2rmNB1MN2S0qnyeyhze3lk8Uw2lbddu3Y0b2NGipZaCd4OrAMa0kKISHdgPLAjXAcRGYKhAEcBPmCKiExWSm0K114TW5T6qugYn05BBBShDSHN6aLMFz7DjOZgHj/xQr4v3MGCou0RG/P/hjxFh/iOvLv97+S710dsXICUOCfVdaZX8LlfvBbR8Q9Fsbea6+e8zW8Hnsb4LgP4NH8V6ysKSYlz8dDw88lJTG67SlABQa0Fm90xRkS6AecD/zngpWeAezj0rvRAYKFSyq2UCgCzgIubTVBNm2JdxXYGRijR9Y39T2bRhXdFZKz2Qh2KSv+xFzK20iG+I0+uv4WVFfOp9Edulf/4mPNYdfWdJNgbL3nVHNQpxT/XzuI3Cz7gy51r2FxZzLKSXSQ4HOyubr0akZqm0RLeof/AUHYNG/YiMhFja3TFoToBq4HTRCRLRBKBCUD35hRU03b4vnQ9t/W9mHsGXMng1GOr7N0lMa3xRs3EDQNOpEcUhhq8u3kJ47r0xhahUIAxWacCUOYrish4Vh5fOpNh/3uW2hZKjN4Uuiamkep0tX0l2IJp00QkXUQ+EpH1IrJORMaISKaITBeRTaG/GY2PFFmadTtURC4AipRSP4jIuNC5ROBPwDmH66uUWicijwPTgWpgBRzs6CUiNwE3AfTo0SOS4mtakfe2rWDW3h2c1nEAt/b5JQ8smcbUXRv2S96c4TK3Nzu6zOB3T6r5tS6uTuatbXO5uvdIeiQns6fWLDwL4A5YCrVaAuudCeF/UK2OLr4qs6+vxuIJ6DB/Ef6cdzbX9h7J+Fdfx7r2SU41t+72c4ax6Bxrkmur80x1svle1oK/cyv7NhyPSDa2MVfQteFcWqY5R35LgmmXxemmvtju29sWc/fQs7ht2GieXz+H9KTwW8n7LA5EKmDeU9tt5hxsqOhIdlwcr239mu215g1Jqdd0gPFagt+tTi/BasvqzjKvVgeXapfxmcZZfF4CvvAB8tbk5gGLU08w2/Ir7jZlsfoA2crN825xEQ5nuYsrBg/htpNG89IPiwlUgY2m1S1sDVrYJvgsMEUpdZmIOIFE4I/At0qpx0TkPuA+4N7DDRJpmtsmOBaYKCITABeGTfAtoBewQoy7zG7AUhEZpZTaa+2slHoVeBVARP4GHJRsUSn1MvAyQF5ent7gjiH21Jbx/vYFzNpeyBtnXEVNwMca7+ojHmdnTSljvvobbn94z8vm5MOVq7l86JAWf99I8N7WJfxm4KnML9rGNu+xmeLnFa9mXvFquoRPcBMTJDmcfHL1tZTUuvnlpM9YVaxTztUjIqnAacD1AEopH+ATkYuAcaFmbwIzaWEl2KzboUqpPyiluimlcoGrgO+UUpcqpToqpXJD53cBIw5UgAAi0jH0twdwCfBec8qraZusLSvkN3M+5h8nX8QfBl9EiiP8XfjhqA548auWV4KPzpwFQOeU6KtB99iqb/iuYCPvnn4dw9JbphBxNHPX8NNYVbSXaz/5iNVFkd/2bRYiW1Q3W0SWWB43Wd6pN7APeF1ElonIf0QkCchRShUYoqgCoONBMjYzbSpjjIh0EZGvLKc+FpG1wBfAb5VSZa0kmqaVWbJvF+dMfpl4m4PHhl+F7VDJL9sYlV7DuWTOzTe2siRHx60LP6KgtoKLup/Y2qK0WbJcifxp5JlM6NGfR2bPbm1xjogIZ4wpVkrlWR4vW97KAYwAXlBKDcco/9gmso63WLC8UmomxlL3wPO5luM9GA4w9c9PbQHRNG2QH857JOz5/h8+wpunX8P5OWP5onBuw3lrQuxkSxHcZEtgeX5ZZsNxYaWxMquMN1eVFVWWJNGu8DbBBJc5dkWxmTbLZknGrKyFYG1w9muv880NP+fCfj2ZsXfDYce02uqsgf7Wgrxn55hjZDvMorl2sVqwDE7KzG84jssyx1hZaUmsbU1KHjjYfuULBggqwRt6zWE336dnZ9P9f0+Zae+zJtmusSQg32NGSe2X+MBXYn4Okmgx/VsysNiTw38mjtDcJ8Sbr/ucByfYBoiPs4xtMZ4ELLkDgpa5Fos9Ea9pi61Psp3XuSsvn38Rkzas56J336XC62Hr7b8LK2c7ZxewSym1KPT8IwwlWCginZVSBSLSGWjxJXSbWglqNI1RpxT/3bSY6/qO4uJueWQ4276RaVtZGT9++539FGBeVk/+nndlK0rVdNwBH90Tsxpv2A7pm5nFt9u28uCsGRTV1DTeoS0RSc/QRrwxQuaunSLSP3TqLGAtMAm4LnTuOuDzSFzakaDTpmmijmm7DWXy4979uX3AuSwq3sxe3y6mFiygMuAmqCIb33as/HrUKO469RQeXDGJj7b/AEBKnIvxXQa1smRN45l103llzHV0dqVR4KlovEM7YunePdw0Ijq3io16gi3qS3gr8E7IM3Qr8HOMhdgHIvILjMQpl7ekQKCVoCZKmbZ7A4sql9PJlcb4zseTl9WZZ4f/niCKbwoXsstdyIKSFfiCLR87dv5x/Xj0rHM48T8vEqCOu049hYU7dzJ510p6JGXy2/5ncO/Sj7nw23+2iDwpjkwcEkd1YM9R9f++eBvugJcLug3jlc2zIixddLOtrIzOyclkuFyUeTyNd2hrHLyD3mwopZYDeWFeOqvlpDgYrQQ1UcXmK+4Pe/74SX8FYHhmD07J6cWYrDH8svflzCpaxn/zp1PqqyIt0Yx1qy/CW+U2bVFJieYKMhg0LQVOix3Janus9VjiBGvjEOC98T9hdKcezN+bjy+9hmCindw3Hjca2eLolJVOr6ROeP0ONpRXAI79CtPmpJo2PqttM9FhKnNP0IydsxasLbYU5K3ym9f1vzEvAvDImoa0vYxMM9OhzQmYyQgKg6YNzmNJuJ3gcLKyfAvxjjpykkwZrXZWq20z0SK7tRBxuqXgccAyx2ldzKDyWovtzZFsfibW2EOvzxKvGTq22lCt1RzqLDGDPrelYK4/vDVIvOZ5lWyJTUw2bYX1sYwPnHQus/fkUxJXjWqdhDWaY0QrQU1Msax0B2uqtgKQm9SB9065hW8Kl1Lqq2qk57GjgNGdevC7+ZP4LD98POPKkr2c98XrtJQp88yOYwG4den9dIpvpPFh8NT5GZTejeXlkcslGu38fMCJDM/uyiVfvBu19SNaeDu0TaKVoCbmEITeyR34dd/xzChcxuqK/BZ779y3HsNmb8E9psMgCL/q81M2VG6hyFt81EowLc6Fyx5HfvVBhV7aHU6bnXvzTuecnn1QwDXfvEdNoPGyVG2SJqY7i3W0EtTEHOd1OYHfDzyfr/Ys4838Sa0tTqtxU+9rAHhgzdPHNM4bZ17FPk8l84sPDu9ob5yb248RHTtz06yP2VBeX6ap7aZF0zSOVoKamGDVxAcbjv+25gPmFa/h35s/J85m2nFSnKZ9yVdfVDfd9Ha0xrkFLbaxWo9p7Kn1msdWG5gNYf1l93Pi509SUmOuBLNyTFuX9f1Lasz90HhLjKHVfjYw3Uy7dUqqmbbMagecW9i74bjCY8Y5psZ7+O+2BUwr/AabzY8NKAuE34O1Ft61Uh+bGCTIntoy6kJxfdV+i63QEg9Y6zPnxnp9WUlm6IDT8nl46izxe5Y58AfM44AlbjEz3dzSdiSZc1wvv8MSJ1lWa85Frd2U119rieHkEFino9Z8fwFGd+zOF5vXs35PGfk3/eFQI0QJDZle2jU6TlATc9SpIHZp2ldbDpN5xmV3NLkCRX1V8d6p2Y20bDnyawrZWbv7mMeZtnsd/VM7R0Ci6Of4Dp1Yse+gDI9RS4QzxkQleiWoiTmCKohDzDv47Pg0sp2puIMVVPirCKg6zusyjJ/1Op0uCelsqt7NhspdLCgoITnOyeW5w4mz2Umwx5HlSuKDrct4Y9NiPHV+sHvxBevwBQ8qaMJPZr5JpjPxoPPRzv+2LeWe488m2eGiOhCFYQARwmmz0zcji7XFUZIXVNMktBLUxBx+Vcfx6bn8adAV2EQxOnsQhbWlpDuTSXcmY8PG8rLtPLvhK7bWbKFfSjcGpHbnnK4DCCrF39fMoKTWTXJcPJsri7ln6Fl8cOZ1OG12nHYH8XYHz62bwZvb9o+Z65vaga6JaUzdvqWVrrx5qA74UECGM7FdK8FTu+WyobQYT93BN0BRi94O1UpQE3ssKVnHcxvrSHa4SLA7eWXLV5T4DNvcjDMNJ5G8rN7kZfUO239C90Nncun19qMMSO/Av0+7hBfXL2g4n+Dy8dke43lGhmmbKq8wbWNVluoXVnviiA47G47LfBZbWpxpS6uqM/tuqzW3XP1BS35R28F2shSHqbT6usxtvE2eTg3HW4os41nqJVpzeyoUrmAWVTVunJY6h3bLeya7TJtnvN1UFG6LDdFnkTc1zpLZx7KAto5ZUmnOR1G5WYkj3lID0WY7vDeutRZiOaatMGALrwCCFnkb3kOEu0edylNL56AcMaI4FIRJN9vu0EpQE3N4gj7m7jPi9KQZjBV73FV0SEhCiH0P886JKZzaJZdd1eX8dfi5XPTNK60tUqtwchejYPf0HZtbWRJNpNFKUKM5Qip9HrZUlHB2l/5M3xPbYQNfX3ADKc74Bkejh0acz5W9R/CH5W8zs+jICxxHK+tK9tE5KYUkhzN64wLDobdDtRLUaBoj97+PNxyLDU7plEuczc64Tn1jXgn6g3W8vGYRb26dz1+Gn8uVvUcAsK2mfVVNL/G4Wbh3J7854SSe/GEOAL2eM+Mvt936+9YS7djQOlArQU3sMfOsp5plXIfYeGrsBQzJzOGF1Qv4unBlw2tdUs14wD2VZs28eIvtL84SC2etyVfoMdunxpk2vI3VOQ3HywNm/T9rvk5rDGNqstk3J960g9Wzy2f2K/ebtrH0ZLPtPo9pd7PZg5R63fRKzWBveYDfzPgS+JLOncza1i5rTtOAKcsJmWZoxorSrg3HG/aZMY7WXJ91fvPYOme+atM+50wOvwKrz/NaZ4nttOYZrVPmXO9nH1TmHFgJpJjvE6w2r+mhGTN5/rwLuPjywWwvL+eGLz7FG0tOMu0UrQQ1mibyz9Mm4nLYueCr1/HWBYhLaB9eBTbboWMp2xO7qyq59MP36J6axvuXXEn31FQ2l5U23rENo3OH6mB5jaZJ2EQ4tXMu9y+a0qbv/uNtDsZkH0ems2lB/o0xa89WxnXuw/GZOY03bgfUKUV+RTlF7hoS4mKgbIRSkXtEKXolqNE0gaBSzC3IZ0xOTz7Z1roOIf1ScxiZ2ZNd7jKm7cgHoGdyBt3THdw58Dx6JXcA6rh+0Z+P+b0eW/4dQ7M6M+n866j2+7htzhesr1tyzONGO56AH5dD/3zGAvpT1GiayIzdWxnXtU+rKsFxHfK4LvcSZhVu5Kpeo7jxOC/ZrmTibDb8KsDUgpX8YsErTD3r93RKyCbIsVd++Mm37+AintfOvJyHTxrPZfO1Eoy3x8BPp6JFi+q2VWLgk9RomhmPYTWoqPaSHZ+ECoQC0RNNR5QStxnU7bckfbY6aCRakk1nJ5iB8FZnmC2VWQ3HVR6z9lGKy8uJmX25tPu5fLp7Nu9u/w77Vhtn5PRjd20RO9172VDUEYD+qd1w+2HKBiElNbdhjN4Zpv0q0WE6fzgd5vZu0FKAVgKWJOKJPr7ZtZHbhp5CSZUl+Xdc+K3huXvNRASBOtPqkuxqPLzAa5k/cZi/0r5ay/ZjI2ZKj9scw+u0/MxZ+vksRYMPqQwsCQPiS43r6JqeSs/UdNZsKiQuGL0WJUFpmyBaCWo0Teby/kP4ZMuaVnnv3KSO/Gnwlby+dTqz9y0DDK/HhSUr92tnVDrIbRYZhmZ1psTjbpaxo4n7zjmd/yxcgj+ol1GxQPTexmg0LcypXXP5blfL5wUdntmT50bezIubv+Lz3YuoDhwc/lDPiKzu/OmEH3HL3E8iLseIDt1YXLSz8YYxjACjcrvx4YoYSRSgHWP0SlCjaSqbykvompTaoquhnklZ/N8JF/Pshkl8U7i80fblvlpqAj721dY02vZI6ZyYwhf5ayM+bjQxtk9PCiurKXUf+kYkqohi5RUptBLUaBojZBeq8flItLjFV9WYSa2tRXhtdvOHxW4zbWYVbrO9zxIonuo0bYL1RYBHZPTlht5n0COxK+/u+Ix11XOZe/aLhxXzuA8eZlN5CW9vXsKMib/my80b+P2srxpeX+M1bWBWe6b1OuwuU946SzJtauIQEWprFN4K01bpswTdk2AmA7CSmGoqDKtd9FBJtmstciqrzc1S4NZXJwedt9owVYo5tq/KHM9mCYS3WZIXSIE5B1aCTvOz9OcEuXvCaTy1aC6+jDryf31X2D6a6EJvh2o0TcQd8JPgaP7YsO6JHbh74BXMLf6eu1c8xHdFc4+o/5Mrv2Poq88xrkcvuianNt6hiWyvKOPuE0+N2HjRxlUDh1Ja62Zafowk0a73Do3UI0rRSlCjaSK1gQApcfGNNzxGru15NsvKNvNd0TzK/BVHNYa3ro6pWzfxy6F52CQyGV/u+O4rTuzclQt7DYjIeNFEitPJHSeezMPzZ7a2KBFFlIrYI1rRSlCjaSIzdmzlZwNGNPv7rCjfQoLt4Jp2R8rzSxcxKKsjn150DYOzOh67XPv24q2rIy0+/NZhrJIUF8fT48/ju+1bWaOryscc2iao0TRGvGE7WlSynYezz8burDOS71sWWGkppt3LGhcXb7E7WePfrIVpVxZ2aThOcPqxk4TTlsC2iky+P/dvTRZz8xX3H3Su30cPcXHPobxx/qVMK1jFP9dNxxP079cmJcm0D9qTzTv6fcVmMu24VC9Z8UnE2x18W7qK+DSjIG5CvGljs8ZHpiWGr0BfZ7Hx5aRUNxxvqzCTe1tjDx2p5jwFEs3xA5Z4RhWKJUxNb9xhqbratGFa8mpj95ofpoTe0mm3c363fvxy3Iksy9/Do5NmkP9IjNkBo3gFFym0EtRomoBDbPzr9Ik8tWJms1afSbQ7+VXf8fxq0csRG/PT7SuZUbCJL8+5iRl717G4ZNtRjdMnJZugUpR620es4LUnDuPCQf15Zcb3fLl8fWuL0wxEd2hDpNBKUKNpAj/q2Q9PXYBX13/fbO9xVueB/G7Q2fxQupWNVQURHbvcV8sedzlO29H/y5/RuS9BFPE2B95g200iHikmHj+AxyfNYvHWXa0tiqYZ0UpQowlDr7cftTyz8bMBw3lz3dJDtk9xuEiOc1FQWx72tXE5g+mZ2Ikyn5vaOi+f7znY4/OyniN5a9tsJu36IQJXcDAf71jCQ8MuYdKuZayr3MnorL50SUznTys+oNwXfnUXb3dwy5CTGd6xM31SsllavINzuw3k8x2rmkXG1iArPpGJeScwpmd30hJcpLpcpLtcuP0+lmyLYQWo0CtBtBLUaBplbPdu9EzNYHrBOhxO00aVkujBZYvjml5juSb3ZBQwv3g9T69cQHZ8EnUqiN9ewnN5N7ClqpBSj5/MpDTG5vTmzTVrG0oy2RxBzu02gAGpnfndgi/4/qJHIib7xsvMShJnfPd7ti/byHmdR3FJ9zwWFm/GE/Qy5Yx78QXr8NT5+Xz7Kl7dtJAKXy2n9ejGTf3HUhPw8cbmRawo3c3IrO78qt8pfLzJCJqv8oYvTJsQb9odE+LM43SXaTt12My5LLfY6vbL72mN8bPMvSPeWqDYOPb6zPCVoArvEWsP2rl58BjGd+tLmduLTYShHXKYuW4bk5dvoKTGTUWth89/+1MAVj96Z9hxYoYoDm2IFFoJajSHoWtSKs+O/TF3zPucgAoe9A/z2PCrqFNBblj0PGW+an7T91z+N+56drsrSHcmkJOQwr82TuGD7Qsafugfz5vIlAk38ufFU5i7dxsCPDRyAtfPerfZ7W073ft4ectkanxmqMfTq2cQZ7OT4UzkqtwxTB5/Mw6xsbGyiJkFm3llwzxCrkDMKNjEr/qdwrV9R/D2pkOvjNsS8TYHx2d2YWhGFy7uMYyd1eU8uGQ6if5EnHY783ftQO3U2qC9opWgRnMYchJSKK6tYX5h/kGv2cXGiMxenD/jCbzKSFP29PpJ/HHxtwDYEPpmxVHo2T/W794lkxiTdRzPjr2IC79+jdO65rK7poI15Xub/XrC4QsG8AUD1AS8PLJiGv9aO5sgiiqf12wUWlgFUfx+wRd8MP5nbCjfx+J9Tc8lakPo7Mpin7ecgAqfXeZAXHYHJ+Z0Y3tVOYM6ZHH1ccMp8bp5bfN8Up0uOiekkuCw8cmOZQf1zcvuwcaKIqb/6LcATN61hn+unMtXOwwnF1VlrhwTsB/Uvz0QzfF9kUIrQY3mMJR63aQ443l6zIVM3r6OXulp9ErJom9qBwam57CybAdVAQ/OML+hQdRBCrCeOQXbeGvjD7xxxlVkxCdw1Yw3m/lKmk6FP3x4Qz3bqkq5fd5nPH/qJdy78Etm7Dl8UvHxnYZzQZcTGZDajdo6D4l2F+sqt7Gxei1VgWo6u3Lo5Qgwa+9mCmursCH0T+vIqA49+flxYyh0V9MxIZkCdwXvbF5K/7QOvHDyFRTVVlPpr2VUds+DlGC6M4F3T7+OwtpK7GJj4rcvs8ddgb9W/+Tth1aCiIqhScjLy1NLluiCn5rIcvr0B/hFnzPol9qFHTXF7KgpZltNERsrC5h+1sGxeU0h9+UnSXTE8cDYs/hwwyo+nPiTCEvdfBz3wcMADM3swktjr+DL7et4ftV8SrxuOiYkM75bX/w2L3trK7mq90j6pGTz9JrvWFayi17Zm0myJzIwtS/Hp/clyZ7EXk8h6XE9GJXZnwp/DRnOVIpqq1laspOP8pfzvzN+flh5fijczSWT32nIeyrAp+f9jI2VhSwv3cGa8j18esZvm3taWgQR+UEplReJsdISOquTc6+PxFAATFn/WMRka0n0bZFG0wi1dT7+tXFqxMd1B/zcM2tKxMdtKVaW7mHC5Ff57ZCxTJ94ExvL99E/vQMzdm/BZld0SUxlRelu7l78Gb6guf1ZU+dmSdkKlleYNsXd1WnYEHond2ZVoaLsEN6q4fDU7R+ukeZMIDcpi2vmvHLsFxnLKCAYO4ugo0UrQY1Gc9QUe9w8uGQ6/1n3PYMyOjK7YBveugBxlmoUjVWBryeIYnP1Hsp8aUckQ6YrgXfOvYL7vv+SPe5K0uNdlPvbR0D/saGD5UHnDtVoNBFgd00F03dtagj7aEku+Py/LCzYyX/PvJrM+EQu7TWUdeWRTTagiV1iyiYoIvuA7aGn2UBxK4rTFtBzYKDnQc9BPdE+Dz2VUh0iMVCaq5M6ufvPIjEUAFM2P6ltgq2N9cshIkui8QOJJHoODPQ86DmoR8/DAcTQIuho0duhGo1Go2m3xNRKUKPRaDRNRHuHArGtBCNXiyZ60XNgoOdBz0E9eh4aUPsXVWynxOx2qFKq3X/Z9RwY6HnQc1CPngfNgcTySlCj0Wg0h0M7xmglqNFoNO0SbRMEomw7VEQuF5E1IhIUkTzL+fEi8oOIrAr9PTN0PlFEJovI+lC/xw4z9lARWRBqt0pEXC1xTUdDc85DqH0PEakWkbua+1qOluaag0P1b6s08//EH0Rks4hsEJEftcT1HA1HOgeh1x4RkZ0iUn2YceNE5M1Q/3Ui8ofmvpZYR0TsIrJMRL4MPc8Ukekisin0N6OlZYoqJQisBi4BZh9wvhi4UCl1PHAd8JbltaeUUgOA4cBYETnvwEFFxAG8DdyslBoMjAP8B7ZrQzTLPFh4Bvg6gvI2B801B4fr3xZprv+JQcBVwGDgXODfItJW6w0dzRx8AYxqZNzLgfhQ/5HAr0QkNyIStxWUityjadwOrLM8vw/4VinVF/g29LxFiartUKXUOgAROfC8tY7KGsAlIvFKKTcwI9TGJyJLgW5hhj4HWKmUWhFqW9IM4keMZpwHROTHwFagJvKSR47mmoPD9Pce2LYt0IzfhYuA90PXvU1ENmMojQWRv4pj4yjmwKuUWhiuz4FDA0mhm+QEwAdURlD01qcFbYIi0g04H3gE+F3o9EUYiw6AN4GZwL0tJhTRtxJsCpcCyw780RKRdOBCjLuNA+kHKBGZKiJLReSe5hez2TnieRCRJIwv4IMtIWALcDTfhUb7RyFHMw9dAWvF3F2hc9HK0XyWH2HcDBYAOzBW0KXNIVyMkC0iSyyPmw54/R/APYA1LiNHKVUAEPrbsWVENWlzK0ER+QboFOalPymlPm+k72DgcYyVnfW8A3gP+KdSamuYrg7gFOBEwA18K0bdrsZ+JJuNVpqHB4FnlFLVjdwhtwitNAeH7d8atNI8hPsCtJoXRXPMQRMYBdQBXYAMYI6IfHO47010EfEqEsWHSkknIhcARUqpH0RkXCTf9Fhpc0pQKXX20fQLLbU/BX6mlDqw1PXLwCal1D8O0X0XMEspVRwa6ytgBI2vFJqNVpqHk4DLROQJIB0IiohHKfWvo5HlWGmlOWisf4vTiv8T3S3PuwF7jkaOSNBMc9AYPwGmKKX8QJGIzAPyMMwF0Y8Cgi0WLD8WmCgiEwAXkCoibwOFItJZKVUgIp2BopYSqJ6Y2A4NbetMBv6glJp3wGsPA2nAHYcZYiowNOQ55wBOB9Y2j7TNx7HOg1LqVKVUrlIqF2Pr4m+tpQCPlmOdg8P1jyYi8D8xCbhKROJFpBfQF/i+eaRtHiLwWe4AzhSDJGA0sD6CIrYblFJ/UEp1C/22XAV8p5S6FuN7dl2o2XXAYVf1zUFUKUERuVhEdgFjgMkiUl/u+xbgOODPIrI89OgYugv8EzAIWBo6/8vQWBNF5P8AlFJlwN+BxcByYKlSanKLXtwR0FzzEE004xyE7d+iF3cENOP/xBrgA4ybwSnAb5VSdbRBjnQOQn2eCPVJFJFdIvJA6Lz1u/A8kIzhfboYeF0ptbLlrqwFaHnv0AN5DBgvIpuA8aHnLUpM1RPUaDQaTdNIi+uoTs68NGLjTSl6UdcT1Gg0Gk20oHTGGKJsO1Sj0Wg0mkiiV4IajUbTHlGgdCklrQQ1Go2m3aK3Q/V2qEaj0WjaL3olqNFoNO0VHR2gV4KayCCHKUlzDGNOFJH7Qsc/FqOywZGOMVMs5XWa2H6DiEwM81quiKw+UhmiFRH5o+U4IRRn5xOR7NaUSxMhlDIyxkTqEaVoJahpsyilJiml6oNnf4wR4N0SXKOUmtScbyBttyyRlQYlqJSqVUoNoxVTp2k0zYFWgpqIEkox9aSIrBajGOmVofPjQqusj8Qo6PqOiJGlW0QmhM7NFZF/illw83oR+ZeInAxMBJ4MrUb6WFd4IpItIvmh4wQReV9EVorI/zBK4NTLdo4YhZOXisiHIpLchOsZKSIrRGQB8FvLeXvoOheH3utXofM2Efm3GEVevxSRr0TkstBr+SLyFxGZC1x+KHlC7zlLjEKwU8XIqYiI3CYia0Pv9/5hZE4SkddCsi0TkYtC53NFZE7o/ZaG5hUR6Swis0Nzu1pEThWj2G796u+dJn34muij9TPGtDraJqiJNJcAw4ATgGxgsYjUFzsdjlGkdQ8wD6Og6xLgJeA0pdQ2EXnvwAGVUvNFZBLwpVLqIzhsHbhfA26l1FARGQosDbXPBu4HzlZK1YjIvRg1zRpLGfc6cKtSapaIPGk5/wugQil1oojEA/NEZBpG8dVc4HiMsjDrgNcs/TxKqVNC8nxyoDwi8ijwHHCRUmpf6CbiEeAGjIKjvZRSXjHyYh6KP2HkZrwh1O57MaowFAHjlVIeEemLUUUiDyNR9FSl1COhFWqiUmqOiNwSWv1pYhQVxduYkUIrQU2kOQV4L5RnslBEZmGUqKoEvldK7QIQkeUYyqIa2KqU2hbq/x5wYB2yI+E04J8ASqmVIlKf63E0xnbqvJACddJIgVgRSQPSlVKzQqfeAuqrsJ+DkXT9stDzNIwk06cAHyojAGuviMw4YNj/NSJPf2AIMD103o5Rzw5gJfCOiHwGfHYY0c/ByNh/V+i5C+iBcfPxLxEZhlEiqF/o9cXAayISB3ymlFp+mLE1mphCK0FNpDlcIUJrQdM6jO/f0RYuDGBu57sOeC3c3owA05VSVx/Be8ghxqp/7Val1NT9Toqc38iYNYeTR0SOB9YopcaE6Xs+hpKfiJEUerBSKnAI2S5VSm04YOwHgEKMVboN8AAopWaLyGmh8d8SkSeVUv9t5Do0UU90b2NGCm0T1ESa2cCVIZtZB4wf7cOV4FkP9BaR3NDzKw/RrgpIsTzPx9h6BLjMcn42cA2AiAwBhobOL8TYfj0u9FqiiPTjMCilyoEKETkldOoay8tTgV+HVk+ISD8xyu3MBS4N2QZzgHGHGP5Q8mwAOojImND5OBEZLCI2oLtSagZGde50jAoH4ZgK3CrSYHMdHjqfBhSEVqk/xVhlIiI9MQqevgK8ilFLE8Bff32aGERhBMtH6hGlaCWoiTSfYmzbrQC+A+5RSu09VGOlVC3wG2BKyGGkEKgI0/R94O6Qo0cf4CkMJTQfw/ZYzwtAcmgb9B5CClgptQ+4Hngv9NpCYEATrufnwPMhx5hay/n/YJQZWipG2MRLGCvbjzEK0tafWxTueg4lj1LKh6HUHxeRFRilvU7GUFhvi8gqYBnwTEhJh+MhIA5YGZLtodD5fwPXichCjK3Q+lXpOGC5iCwDLgWeDZ1/OTSGdozRxCy6lJKm1RGRZKVUdWjl8jxGxfNnWkmWmcBdSqklxzBG/fVkYSjhsYe7EYgmxPDCzVNKFbe2LJpjI82WpUY7z43YeNO870ZlKSW9EtS0BW4MOcqswdiye6kVZSkF3pAwwfJHwJeh65kDPBQLClBCwfIYK0ztUhgDKEAFVcQe0YpeCWo0UYqI/By4/YDT85RSvw3XXqOxkmrLUqMdP4rYeNP970XlSlB7h2o0UYpS6nWMOEaN5shRCnQpJa0ENRqNpr0SzduYkULbBDUajUbTbtErQY1Go2mv6O1Q7Rij0Wg07RERmcL+MbbHSrFSKnIxFy2EVoIajUajabdom6BGo9Fo2i1aCWo0Go2m3aKVoEaj0WjaLVoJajQajabdopWgRqPRaNot/w+rS2FxP9rwZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(7, 7))\n",
    "sb_ssebop_et_ds.et.isel(time=6).plot(ax=ax)\n",
    "sb_huc10_gdf.plot(ax=ax, edgecolor='white', facecolor='none');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TWS anomalies from GRACE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "grace_opendap_url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/tellus/L3/mascon/RL06/JPL/v02/CRI/netcdf/GRCTellus.JPL.200204_202007.GLO.RL06M.MSCNv02CRI.nc\"\n",
    "\n",
    "grace_ds = xr.open_dataset(grace_opendap_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.25, 359.75)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grace_ds.lon.values.min(), grace_ds.lon.values.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE:** `lon` values are 0 - 360 (starting from the anti-meridian, \"-180\") rather than -180 to 180 as the previous datasets; add an offset in the lon slice specification, and shift the xarray dataset to make it work with the region mask and GeoDataFrame overlays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_grace_lwe_thickness_ds = grace_ds.sel(\n",
    "    time=slice(date_start, date_end), \n",
    "    lon=slice(360 + sb_bbox.bounds.minx[0] - 0.5, 360 + sb_bbox.bounds.maxx[0] + 0.5), \n",
    "    lat=slice(sb_bbox.bounds.miny[0] - 0.5, sb_bbox.bounds.maxy[0] + 0.5), \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_grace_lwe_thickness_ds.coords['lon'] = (sb_grace_lwe_thickness_ds.coords['lon'] + 180) % 360 - 180\n",
    "sb_grace_lwe_thickness_ds = sb_grace_lwe_thickness_ds.sortby(sb_grace_lwe_thickness_ds.lon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 504x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(7, 7))\n",
    "sb_grace_lwe_thickness_ds.lwe_thickness.isel(time=6).plot(ax=ax)\n",
    "sb_huc10_gdf.plot(ax=ax, edgecolor='white', facecolor='none');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discharge from USGS NWIS\n",
    "\n",
    "Use `hydrodata.interactive_map`: for HUC10 subbasin boundaries, produce clickable site markers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "m2 = hd.interactive_map(tuple(sb_bbox.total_bounds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i, i_gdf in sb_huc10_gdf.iterrows():\n",
    "    folium.GeoJson(\n",
    "        i_gdf.geometry,\n",
    "        style_function=lambda feature: {'color': 'black', 'fillOpacity': 0.0},\n",
    "        tooltip=i_gdf['huc10']\n",
    "    ).add_child(\n",
    "        folium.Popup(f\"<b>HUC10:</b><br> {i_gdf['huc10']}<br><b>watershed area:</b><br> {i_gdf['areasqkm']:.0f} km^2\")\n",
    "    ).add_to(m2)\n",
    "\n",
    "\n",
    "m2.fit_bounds(m2.get_bounds())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
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        var popup_e582f4a1116f4b569836b1d8f67dbd82 = L.popup({"maxWidth": 250});

        
            var html_28eaf4eb46b7402f81ee67e9b47ec148 = $(`<div id="html_28eaf4eb46b7402f81ee67e9b47ec148" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14097500<br><strong>Station Name</strong> : CLEAR CREEK NEAR GOVERNMENT CAMP,OREG.<br><strong>Coordinate</strong> : (45.1720624, -121.6845196)<br><strong>Altitude</strong> : 3450.94 ft above NGVD29<br><strong>HUC8</strong> : 17070306<br><strong>Drainage Area</strong> : 8.90 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1946-10-01 00:00:00<br><strong>End data</strong> : 1953-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_44e711fd2a5d4f46aca31253f4297fbc = L.marker(
                [45.37484076, -121.8845237],
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            var icon_90f3b4375a994d50ac4750bb9283ebc5 = L.AwesomeMarkers.icon(
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        var popup_ae6917a03f33437ea7f4aae5986ba0e7 = L.popup({"maxWidth": 250});

        
            var html_ab00d3695d7541f886f486f032959eb2 = $(`<div id="html_ab00d3695d7541f886f486f032959eb2" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14130000<br><strong>Station Name</strong> : LOST CREEK NR BRIGHTWOOD, OREG.<br><strong>Coordinate</strong> : (45.37484076, -121.8845237)<br><strong>Altitude</strong> : 1800.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 11.20 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1913-10-01 00:00:00<br><strong>End data</strong> : 1918-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_28179cde596648808406f37cd6cdaa23 = L.marker(
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            var icon_dc376113d0a040159bb52262fbbb0031 = L.AwesomeMarkers.icon(
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        var popup_c761cb7182b44652933cbd26fcf9659f = L.popup({"maxWidth": 250});

        
            var html_da21284d19e34680a174ac29a2165cc0 = $(`<div id="html_da21284d19e34680a174ac29a2165cc0" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14131000<br><strong>Station Name</strong> : LITLE ZIGZAG R TWIN BRDGS RHODODENDRON OREG.<br><strong>Coordinate</strong> : (45.31372956, -121.8095227)<br><strong>Altitude</strong> : 2905.16 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 3.70 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1926-04-01 00:00:00<br><strong>End data</strong> : 1936-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_486cb9d349a24463beefaa8dc98f3757 = L.marker(
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            var icon_dc98850f1691476d8295d08c84cffa59 = L.AwesomeMarkers.icon(
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            var html_1736d07586c04017bb4072e8933ec228 = $(`<div id="html_1736d07586c04017bb4072e8933ec228" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14131500<br><strong>Station Name</strong> : ZIGZAG RIVER AT RHODODENDRON, OREG.<br><strong>Coordinate</strong> : (45.32761878, -121.9095239)<br><strong>Altitude</strong> : 1640.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 31 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1920-01-01 00:00:00<br><strong>End data</strong> : 1930-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_1fd797a7a8a14f9abf135a3d11dbdac3 = L.marker(
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            var icon_eabeac66eecd4cd4b90a60a81b75b6ea = L.AwesomeMarkers.icon(
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            var html_1a5b6cd774234ed5841f73bb378d315d = $(`<div id="html_1a5b6cd774234ed5841f73bb378d315d" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14132500<br><strong>Station Name</strong> : STILL CREEK NEAR GOVERNMENT CAMP,OREG.<br><strong>Coordinate</strong> : (45.2859516, -121.7400774)<br><strong>Altitude</strong> : 3630.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 2.55 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1926-05-01 00:00:00<br><strong>End data</strong> : 1932-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_02065f0c80644e519b3a21a1a3bbb133 = L.marker(
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            var html_c07595ac68b0440c99f4210df03d51ad = $(`<div id="html_c07595ac68b0440c99f4210df03d51ad" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14133400<br><strong>Station Name</strong> : BEAR CREEK NEAR RHODODENDRON, OR.<br><strong>Coordinate</strong> : (45.3401188, -121.931191)<br><strong>Altitude</strong> : 1460.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> :  square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1998-11-25 00:00:00<br><strong>End data</strong> : 1999-04-11 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_9c6ee76f903c4aa28ef0328d668b16c5 = L.marker(
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            var icon_fa82cdef244c47e4bb286edb084c4f51 = L.AwesomeMarkers.icon(
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        var popup_3e51d966ae49401ea52e838dd898c1fe = L.popup({"maxWidth": 250});

        
            var html_9b723774d93d4596adc332708039f5eb = $(`<div id="html_9b723774d93d4596adc332708039f5eb" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14133500<br><strong>Station Name</strong> : SANDY RIVER AB SALMON RIVER, AT BRIGHTWOOD, OREG<br><strong>Coordinate</strong> : (45.3609523, -121.987303)<br><strong>Altitude</strong> : 1190.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 117 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1910-05-01 00:00:00<br><strong>End data</strong> : 1931-03-31 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_c3ea4ffd5fb34daa80b2a955bc195116 = L.marker(
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            var icon_d0df7f89823f4d89be9008b9847d999f = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_c3ea4ffd5fb34daa80b2a955bc195116.setIcon(icon_d0df7f89823f4d89be9008b9847d999f);
        
    
        var popup_d8f07dbce970454c840402b20cbf7f1c = L.popup({"maxWidth": 250});

        
            var html_700cc7f0dfee4dde96f3cb4dd959ed56 = $(`<div id="html_700cc7f0dfee4dde96f3cb4dd959ed56" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14134000<br><strong>Station Name</strong> : SALMON RIVER NEAR GOVERNMENT CAMP, OREG.<br><strong>Coordinate</strong> : (45.2665072, -121.7178547)<br><strong>Altitude</strong> : 3445.53 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 8 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1910-06-01 00:00:00<br><strong>End data</strong> : 1991-09-30 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_c3ea4ffd5fb34daa80b2a955bc195116.bindPopup(popup_d8f07dbce970454c840402b20cbf7f1c)
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            var marker_27672f4bfbf346a3b60d34d0cd4dae9a = L.marker(
                [45.2220634, -121.8623009],
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_43e50ecae33243178d729fdc3ade00a4 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_27672f4bfbf346a3b60d34d0cd4dae9a.setIcon(icon_43e50ecae33243178d729fdc3ade00a4);
        
    
        var popup_7485772f52a64b49be829cbb76cb74fd = L.popup({"maxWidth": 250});

        
            var html_bffd3ad66fb34fe8a58e364299f2952e = $(`<div id="html_bffd3ad66fb34fe8a58e364299f2952e" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14134500<br><strong>Station Name</strong> : SALMON RIVER BELOW LINNEY CREEK, OREG.<br><strong>Coordinate</strong> : (45.2220634, -121.8623009)<br><strong>Altitude</strong> : 2500.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 54 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1927-10-01 00:00:00<br><strong>End data</strong> : 1950-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_5334eba9cc5140b0bf4e86c39f8b1c74 = L.marker(
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            var icon_798c58d40c104523ab7a6b3f73ebbf74 = L.AwesomeMarkers.icon(
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            marker_5334eba9cc5140b0bf4e86c39f8b1c74.setIcon(icon_798c58d40c104523ab7a6b3f73ebbf74);
        
    
        var popup_ece45a8e122d486aa79831035fd34113 = L.popup({"maxWidth": 250});

        
            var html_b151cf287c0444bdbf97361337249ee9 = $(`<div id="html_b151cf287c0444bdbf97361337249ee9" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14135000<br><strong>Station Name</strong> : SALMON RIVER AT WELCHES, OREG.<br><strong>Coordinate</strong> : (45.3192856, -121.9539689)<br><strong>Altitude</strong> : 1350.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 100 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1913-08-01 00:00:00<br><strong>End data</strong> : 1936-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_318745dcbe7248578690467497ef2353 = L.marker(
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            var icon_a19a5b80809149378e838df29c4f91e1 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_318745dcbe7248578690467497ef2353.setIcon(icon_a19a5b80809149378e838df29c4f91e1);
        
    
        var popup_668b9f35fbc748ab8cab18eacbf8347d = L.popup({"maxWidth": 250});

        
            var html_b90044db10ba428cb2ac93b05de36f03 = $(`<div id="html_b90044db10ba428cb2ac93b05de36f03" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14135500<br><strong>Station Name</strong> : SALMON R AB BOULDER CR NR BRIGHTWOOD OREG.<br><strong>Coordinate</strong> : (45.3609524, -122.0123035)<br><strong>Altitude</strong> : 1089.2 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 106 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1936-09-01 00:00:00<br><strong>End data</strong> : 1952-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_318745dcbe7248578690467497ef2353.bindPopup(popup_668b9f35fbc748ab8cab18eacbf8347d)
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            var marker_0cbe1ccdda87455193a778ad8650cbd9 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_36c19b938a43458fbd346ddfe2eb8b1f = L.AwesomeMarkers.icon(
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            marker_0cbe1ccdda87455193a778ad8650cbd9.setIcon(icon_36c19b938a43458fbd346ddfe2eb8b1f);
        
    
        var popup_40edf2614cf84f12a9b28f09721cd811 = L.popup({"maxWidth": 250});

        
            var html_6e5b0d857e554aa9ac552c91593dbfaf = $(`<div id="html_6e5b0d857e554aa9ac552c91593dbfaf" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14136500<br><strong>Station Name</strong> : SANDY RIVER BELOW SALMON RIVER NEAR BRIGHTWOOD, OR<br><strong>Coordinate</strong> : (45.38317478, -122.0456378)<br><strong>Altitude</strong> : 963.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 242 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 2007-09-27 00:00:00<br><strong>End data</strong> : 2008-12-09 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
            popup_40edf2614cf84f12a9b28f09721cd811.setContent(html_6e5b0d857e554aa9ac552c91593dbfaf);
        

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            var marker_53936634e2144738b00b70d8b74a177d = L.marker(
                [45.3995642, -122.1373068],
                {}
            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_2c1cb3d258e8496f9a5ed78295d8080e = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_53936634e2144738b00b70d8b74a177d.setIcon(icon_2c1cb3d258e8496f9a5ed78295d8080e);
        
    
        var popup_ad8d5aa1589e418ea3ae731d65454983 = L.popup({"maxWidth": 250});

        
            var html_660b5e7e283f420886d8f1230af78561 = $(`<div id="html_660b5e7e283f420886d8f1230af78561" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14137000<br><strong>Station Name</strong> : SANDY RIVER NEAR MARMOT, OR<br><strong>Coordinate</strong> : (45.3995642, -122.1373068)<br><strong>Altitude</strong> : 0.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 264 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1911-09-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : True</div>`)[0];
            popup_ad8d5aa1589e418ea3ae731d65454983.setContent(html_660b5e7e283f420886d8f1230af78561);
        

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            var marker_1f485b5e7cd14b30862aa552e933b1bc = L.marker(
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            var icon_0b49866d108b4d9d80b1f5b4bd9e424a = L.AwesomeMarkers.icon(
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            var html_37e4d42a5fbd439e80a16051910ec2ac = $(`<div id="html_37e4d42a5fbd439e80a16051910ec2ac" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14137001<br><strong>Station Name</strong> : SANDY RIVER DIV ABV MARMOT DAM, NR MARMOT, OR<br><strong>Coordinate</strong> : (45.39984197, -122.1328622)<br><strong>Altitude</strong> : 725.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> :  square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 2002-10-01 00:00:00<br><strong>End data</strong> : 2007-09-30 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_c988118915be49038bde9d4a705cd567 = L.marker(
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            var icon_37b261d39f7341578982d498f3beb969 = L.AwesomeMarkers.icon(
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        var popup_7095df0a62804bcca2a841af377719e3 = L.popup({"maxWidth": 250});

        
            var html_9b232023259c4bf99337363c4ccb9a79 = $(`<div id="html_9b232023259c4bf99337363c4ccb9a79" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14137002<br><strong>Station Name</strong> : SANDY RIVER BELOW MARMOT DAM, NEAR MARMOT, OR<br><strong>Coordinate</strong> : (45.3995642, -122.1373068)<br><strong>Altitude</strong> : 690.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 264 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 2002-03-07 00:00:00<br><strong>End data</strong> : 2007-09-30 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_23b62219cbd2484b8aafc3b19f4afd8c = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_27ef02668eed498a96a6db01877c9b65 = L.AwesomeMarkers.icon(
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        var popup_ff7db8ba545b430dbe166a2699125474 = L.popup({"maxWidth": 250});

        
            var html_52a252736ce14f25a9d7bfe737d11c76 = $(`<div id="html_52a252736ce14f25a9d7bfe737d11c76" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14138800<br><strong>Station Name</strong> : BLAZED ALDER CREEK NEAR RHODODENDRON, OR<br><strong>Coordinate</strong> : (45.4526183, -121.8914684)<br><strong>Altitude</strong> : 2540.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 8.17 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1963-10-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : True</div>`)[0];
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            var marker_f196a008b9da43d5ba35f46883a7692a = L.marker(
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            var icon_a91e33e1d14844cfbeb382401fd65d3d = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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        var popup_70603f597f854b958a8b6a09c1dd6dd1 = L.popup({"maxWidth": 250});

        
            var html_6bad89b147194d21af34b9097cf3ba78 = $(`<div id="html_6bad89b147194d21af34b9097cf3ba78" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14138801<br><strong>Station Name</strong> : DCP 16C063CA (BLAZED ALDER)<br><strong>Coordinate</strong> : (45.4526183, -121.8914684)<br><strong>Altitude</strong> : 2540.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 8.17 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1978-09-30 00:00:00<br><strong>End data</strong> : 1979-04-12 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_1e42692795f3481189d73a05cd942542 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_f783f25654134de4acb1262de9ecd074 = L.AwesomeMarkers.icon(
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            var html_592d2ca133e743bcb760377273724e67 = $(`<div id="html_592d2ca133e743bcb760377273724e67" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14139800<br><strong>Station Name</strong> : SOUTH FORK BULL RUN RIVER NEAR BULL RUN, OR<br><strong>Coordinate</strong> : (45.444564, -122.1095292)<br><strong>Altitude</strong> : 990.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 15.7 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1974-10-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : True</div>`)[0];
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            var marker_2cede7ec0fae407ab66b5a48c338327c = L.marker(
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            var icon_342d979bbad247f19a3fdb270f32221b = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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        var popup_6331b156916743b39b111a33a4a51ee2 = L.popup({"maxWidth": 250});

        
            var html_307f2a05a9764917b5922ed351d6e336 = $(`<div id="html_307f2a05a9764917b5922ed351d6e336" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14140000<br><strong>Station Name</strong> : BULL RUN RIVER NEAR BULL RUN (RIVER ONLY), OR<br><strong>Coordinate</strong> : (45.4373, -122.1796556)<br><strong>Altitude</strong> : 567.9 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 107 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1907-10-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_f6f5966090f64b2db2dc7d76751432f3 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_8a9c3e5f0ff94ff9b41202d1db27680b = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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        var popup_1a536d017334419a8c2a5dba7777f71d = L.popup({"maxWidth": 250});

        
            var html_446ddc316dca4baeb00f2164e0f21767 = $(`<div id="html_446ddc316dca4baeb00f2164e0f21767" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14140001<br><strong>Station Name</strong> : BULL RUN RIVER NEAR BULL RUN, OR<br><strong>Coordinate</strong> : (45.43734229, -122.1795309)<br><strong>Altitude</strong> : 567.9 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 107 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1959-10-01 00:00:00<br><strong>End data</strong> : 2019-09-30 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_1dd6f2bdcbea4a73830b13a3feaf3877 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_91011a2792574afd941f873fbd2c8091 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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        var popup_dd2ddf295aee40c2a70b50d251590e4f = L.popup({"maxWidth": 250});

        
            var html_a17f929cd2d24bf88ec92f51e70e680e = $(`<div id="html_a17f929cd2d24bf88ec92f51e70e680e" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14140500<br><strong>Station Name</strong> : LITTLE SANDY RIVER NEAR MARMOT, OREG.<br><strong>Coordinate</strong> : (45.41928636, -122.1261958)<br><strong>Altitude</strong> : 1080.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 17.90 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1913-10-01 00:00:00<br><strong>End data</strong> : 1919-04-30 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_1dd6f2bdcbea4a73830b13a3feaf3877.bindPopup(popup_dd2ddf295aee40c2a70b50d251590e4f)
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            var marker_3ad01688c7a54228a3ed8b5a07f1c326 = L.marker(
                [45.41539777, -122.1714746],
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_0c52eff1a8bb4a509479ac1235fe075c = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_3ad01688c7a54228a3ed8b5a07f1c326.setIcon(icon_0c52eff1a8bb4a509479ac1235fe075c);
        
    
        var popup_9b1fd982a34e44dca3a51bdd4280fe6f = L.popup({"maxWidth": 250});

        
            var html_a65e291643ed4580b602ea1a5a5876e7 = $(`<div id="html_a65e291643ed4580b602ea1a5a5876e7" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14141500<br><strong>Station Name</strong> : LITTLE SANDY RIVER NEAR BULL RUN, OR<br><strong>Coordinate</strong> : (45.41539777, -122.1714746)<br><strong>Altitude</strong> : 720.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 23.1 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1911-05-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : True</div>`)[0];
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        marker_3ad01688c7a54228a3ed8b5a07f1c326.bindPopup(popup_9b1fd982a34e44dca3a51bdd4280fe6f)
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            var marker_dc10171dd10949d0b4bfa82067333335 = L.marker(
                [45.4490094, -122.2450885],
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_f5199726712947b5a4ffb1aa42293095 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
            );
            marker_dc10171dd10949d0b4bfa82067333335.setIcon(icon_f5199726712947b5a4ffb1aa42293095);
        
    
        var popup_564572f403ca46adaca6ab3defa5c096 = L.popup({"maxWidth": 250});

        
            var html_b0083ea7510949da8500177b16c533cf = $(`<div id="html_b0083ea7510949da8500177b16c533cf" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14142500<br><strong>Station Name</strong> : SANDY RIVER BLW BULL RUN RIVER, NR BULL RUN, OR<br><strong>Coordinate</strong> : (45.4490094, -122.2450885)<br><strong>Altitude</strong> : 240.0 ft above NGVD29<br><strong>HUC8</strong> : 17080001<br><strong>Drainage Area</strong> : 436 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1910-10-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_dc10171dd10949d0b4bfa82067333335.bindPopup(popup_564572f403ca46adaca6ab3defa5c096)
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            var marker_6f094a3acca7484faacef4ae634aa1e6 = L.marker(
                [44.9609, -122.385],
                {}
            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_ceff9110e70744119753caaea7db77b0 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_6f094a3acca7484faacef4ae634aa1e6.setIcon(icon_ceff9110e70744119753caaea7db77b0);
        
    
        var popup_4937e165a0a74bd2b32ea0c2f842908d = L.popup({"maxWidth": 250});

        
            var html_c71732840abf4fe1a3797a1d374c08db = $(`<div id="html_c71732840abf4fe1a3797a1d374c08db" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14198400<br><strong>Station Name</strong> : BULL CREEK NEAR WILHOIT, OR<br><strong>Coordinate</strong> : (44.9609, -122.385)<br><strong>Altitude</strong> : 1660.0 ft above NGVD29<br><strong>HUC8</strong> : 17090009<br><strong>Drainage Area</strong> : 0.78 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1993-03-31 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
            popup_4937e165a0a74bd2b32ea0c2f842908d.setContent(html_c71732840abf4fe1a3797a1d374c08db);
        

        marker_6f094a3acca7484faacef4ae634aa1e6.bindPopup(popup_4937e165a0a74bd2b32ea0c2f842908d)
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            var marker_afbb02c495df4a72ba4bf5cb3a74d5bf = L.marker(
                [45.00956696, -122.480362],
                {}
            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_30e564ee8bcd415a8b39ffad464a92ff = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_afbb02c495df4a72ba4bf5cb3a74d5bf.setIcon(icon_30e564ee8bcd415a8b39ffad464a92ff);
        
    
        var popup_63d82863294043368ef0d8c787c0952e = L.popup({"maxWidth": 250});

        
            var html_7a704a6a04054491a25bbf31cb633dad = $(`<div id="html_7a704a6a04054491a25bbf31cb633dad" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14198500<br><strong>Station Name</strong> : MOLALLA R AB PC NR WILHOIT, OREG.<br><strong>Coordinate</strong> : (45.00956696, -122.480362)<br><strong>Altitude</strong> : 791.35 ft above NGVD29<br><strong>HUC8</strong> : 17090009<br><strong>Drainage Area</strong> : 97 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1935-10-01 00:00:00<br><strong>End data</strong> : 1993-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
            popup_63d82863294043368ef0d8c787c0952e.setContent(html_7a704a6a04054491a25bbf31cb633dad);
        

        marker_afbb02c495df4a72ba4bf5cb3a74d5bf.bindPopup(popup_63d82863294043368ef0d8c787c0952e)
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            var marker_a922c3a37c50494fa75a46aa0a862b7e = L.marker(
                [45.11928929, -122.534531],
                {}
            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_4bdfa3ec49014c6fbc1b29db6225b640 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_a922c3a37c50494fa75a46aa0a862b7e.setIcon(icon_4bdfa3ec49014c6fbc1b29db6225b640);
        
    
        var popup_f00f1b171383492c8a0b3727aab388c1 = L.popup({"maxWidth": 250});

        
            var html_90a4b3a4337b4a868cc0fa901d314955 = $(`<div id="html_90a4b3a4337b4a868cc0fa901d314955" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14199000<br><strong>Station Name</strong> : MOLALLA RIVER NR MOLALLA, OREG.<br><strong>Coordinate</strong> : (45.11928929, -122.534531)<br><strong>Altitude</strong> : 400.0 ft above NGVD29<br><strong>HUC8</strong> : 17090009<br><strong>Drainage Area</strong> : 201 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1905-10-01 00:00:00<br><strong>End data</strong> : 1951-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_a922c3a37c50494fa75a46aa0a862b7e.bindPopup(popup_f00f1b171383492c8a0b3727aab388c1)
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            var marker_7555e96990204b3a8ef05dd78322696f = L.marker(
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            var icon_e312750898c34f549bf242e220134ad5 = L.AwesomeMarkers.icon(
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            marker_7555e96990204b3a8ef05dd78322696f.setIcon(icon_e312750898c34f549bf242e220134ad5);
        
    
        var popup_37af6273bb74426d85828c0809fe36d0 = L.popup({"maxWidth": 250});

        
            var html_27e9605f3be94f71af21dfb57330123a = $(`<div id="html_27e9605f3be94f71af21dfb57330123a" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14199704<br><strong>Station Name</strong> : NATE CREEK TRIBUTARY NEAR COLTON, OR<br><strong>Coordinate</strong> : (45.2052333, -122.4120018)<br><strong>Altitude</strong> : 950.0 ft above NGVD29<br><strong>HUC8</strong> : 17090009<br><strong>Drainage Area</strong> : 0.61 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 2002-06-07 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_a731b38e328b42669b193173611b1399 = L.marker(
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            var icon_3072c221a7ac404199495e2a86c8940e = L.AwesomeMarkers.icon(
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        var popup_ea7cbea0eb284199955276e26f669e8d = L.popup({"maxWidth": 250});

        
            var html_de307a6a73b94fc4974872987312af47 = $(`<div id="html_de307a6a73b94fc4974872987312af47" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14208000<br><strong>Station Name</strong> : CLACKAMAS RIVER AT BIG BOTTOM, OREG.<br><strong>Coordinate</strong> : (45.0165099, -121.920634)<br><strong>Altitude</strong> : 2040.0 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 136 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1920-04-01 00:00:00<br><strong>End data</strong> : 1970-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_f5fab69bac4e416989a29942bae57b3a = L.marker(
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            var icon_2efa442527ea4a68931331deea4eb53a = L.AwesomeMarkers.icon(
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        var popup_b2566fd898374a6aa6e5058a033fa46e = L.popup({"maxWidth": 250});

        
            var html_2ef92f60c9eb408b8315a7f6a08ab204 = $(`<div id="html_2ef92f60c9eb408b8315a7f6a08ab204" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14208300<br><strong>Station Name</strong> : COLLAWASH R NR BREITENBUSH OREG<br><strong>Coordinate</strong> : (44.98873349, -122.0664686)<br><strong>Altitude</strong> : 1610.0 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 142 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1966-03-01 00:00:00<br><strong>End data</strong> : 1968-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_3e2062f7232e44ee82b071b8b7ad2719 = L.marker(
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            var html_92f5f45085b342bda77eaefc5feb3874 = $(`<div id="html_92f5f45085b342bda77eaefc5feb3874" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14208500<br><strong>Station Name</strong> : OAK GROVE FORK AT TIMOTHY MEADOWS, OREG.<br><strong>Coordinate</strong> : (45.1165077, -121.8011885)<br><strong>Altitude</strong> : 3140.0 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 54 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1913-03-01 00:00:00<br><strong>End data</strong> : 1929-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_3e2062f7232e44ee82b071b8b7ad2719.bindPopup(popup_0b48cf190a2f4b4fbed72d0ca040b0ad)
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            var marker_b44d0b4b5e154d8a90a48287306ff959 = L.marker(
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            var icon_58fc8edbebe14bc68c7cfc321d091755 = L.AwesomeMarkers.icon(
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        var popup_6c5e5b8cd1b4436186296288bf744fa4 = L.popup({"maxWidth": 250});

        
            var html_b5a0b5a6391e42b8a4c1b45fdc162b9e = $(`<div id="html_b5a0b5a6391e42b8a4c1b45fdc162b9e" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14208700<br><strong>Station Name</strong> : OAK GROVE FORK NEAR GOVERNMENT CAMP, OR<br><strong>Coordinate</strong> : (45.11373009, -121.8150775)<br><strong>Altitude</strong> : 3041.83 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 54.4 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1956-10-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_f03f2f38db4440e1a2b0bb098e434e80 = L.marker(
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            var icon_a1ddda661498441fb654c462b14b56fd = L.AwesomeMarkers.icon(
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            var html_8be575cc4c074b539d61eebe038d6859 = $(`<div id="html_8be575cc4c074b539d61eebe038d6859" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14209000<br><strong>Station Name</strong> : OAK GROVE FORK ABOVE POWERPLANT INTAKE, OR.<br><strong>Coordinate</strong> : (45.0712319, -121.9406345)<br><strong>Altitude</strong> : 2100.0 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 124 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1909-05-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_a4893b185f0f4bd1ba78b0157e8331e0 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_e3d80085b6504bd5b1d497949494567d = L.AwesomeMarkers.icon(
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            marker_a4893b185f0f4bd1ba78b0157e8331e0.setIcon(icon_e3d80085b6504bd5b1d497949494567d);
        
    
        var popup_0f2ea4b1428441bdaff061dce2095e23 = L.popup({"maxWidth": 250});

        
            var html_3b550971918449b597332a4f80cf2c98 = $(`<div id="html_3b550971918449b597332a4f80cf2c98" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14209250<br><strong>Station Name</strong> : OAK GROVE FORK AT RIPPLEBROOK CAMPGROUND, OR<br><strong>Coordinate</strong> : (45.07981389, -122.0428583)<br><strong>Altitude</strong> : 1420.0 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 141 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 2010-10-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_a4893b185f0f4bd1ba78b0157e8331e0.bindPopup(popup_0f2ea4b1428441bdaff061dce2095e23)
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            var marker_f32f1e100a8c4ad7ac16fc225dd72e32 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_974602d0ef7a43ce91674ec0b8e71a04 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_f32f1e100a8c4ad7ac16fc225dd72e32.setIcon(icon_974602d0ef7a43ce91674ec0b8e71a04);
        
    
        var popup_4168771f53174885a417d07fbb119041 = L.popup({"maxWidth": 250});

        
            var html_4ff02bb16f1d4a83ad807246acbc6ded = $(`<div id="html_4ff02bb16f1d4a83ad807246acbc6ded" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14209500<br><strong>Station Name</strong> : CLACKAMAS RIVER ABOVE THREE LYNX CREEK, OR<br><strong>Coordinate</strong> : (45.1248432, -122.0734137)<br><strong>Altitude</strong> : 1091.69 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 479 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1909-04-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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            var marker_685ef6e3e1374dbbb7666b3fe98ec218 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_e1099db9d80845f2bbfb58e03fd04d41 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_685ef6e3e1374dbbb7666b3fe98ec218.setIcon(icon_e1099db9d80845f2bbfb58e03fd04d41);
        
    
        var popup_5dfa3c53257849e2a312547d6dee675d = L.popup({"maxWidth": 250});

        
            var html_07744d084d12471fa03e4821d596db87 = $(`<div id="html_07744d084d12471fa03e4821d596db87" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14209600<br><strong>Station Name</strong> : ROARING R NR ESTACADA OREG<br><strong>Coordinate</strong> : (45.15956508, -122.1150808)<br><strong>Altitude</strong> : 1040.0 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 42.40 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1966-01-28 00:00:00<br><strong>End data</strong> : 1968-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_685ef6e3e1374dbbb7666b3fe98ec218.bindPopup(popup_5dfa3c53257849e2a312547d6dee675d)
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            var marker_76da4bbd1ab14c7bbd6197f1af24d4a7 = L.marker(
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            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_3b296289c1ef44949737e8a76a10a261 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_76da4bbd1ab14c7bbd6197f1af24d4a7.setIcon(icon_3b296289c1ef44949737e8a76a10a261);
        
    
        var popup_6a389a194751435680d32c4415fdb93c = L.popup({"maxWidth": 250});

        
            var html_4db7ccd9f7264c12a13cbd80beb1f6dc = $(`<div id="html_4db7ccd9f7264c12a13cbd80beb1f6dc" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14210000<br><strong>Station Name</strong> : CLACKAMAS RIVER AT ESTACADA, OR<br><strong>Coordinate</strong> : (45.29984346, -122.3539746)<br><strong>Altitude</strong> : 286.93 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 671 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1908-04-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_76da4bbd1ab14c7bbd6197f1af24d4a7.bindPopup(popup_6a389a194751435680d32c4415fdb93c)
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            var marker_653bcbb753ab469fac45bf7f37d9922f = L.marker(
                [45.3931766, -122.532868],
                {}
            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_0ae0479d6a444865b77ce88572ca924c = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
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            marker_653bcbb753ab469fac45bf7f37d9922f.setIcon(icon_0ae0479d6a444865b77ce88572ca924c);
        
    
        var popup_ab5363dd7ddc4787b62ee9651eab9cd0 = L.popup({"maxWidth": 250});

        
            var html_875272fc4e9943aebbcf9811d8d75ec7 = $(`<div id="html_875272fc4e9943aebbcf9811d8d75ec7" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14211000<br><strong>Station Name</strong> : CLACKAMAS RIVER NEAR CLACKAMAS, OR<br><strong>Coordinate</strong> : (45.3931766, -122.532868)<br><strong>Altitude</strong> : 50.68 ft above NGVD29<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 933 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 1962-10-01 00:00:00<br><strong>End data</strong> : 1983-09-29 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
            popup_ab5363dd7ddc4787b62ee9651eab9cd0.setContent(html_875272fc4e9943aebbcf9811d8d75ec7);
        

        marker_653bcbb753ab469fac45bf7f37d9922f.bindPopup(popup_ab5363dd7ddc4787b62ee9651eab9cd0)
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            var marker_7ec1f06b59ed416f96391d97d22fa88f = L.marker(
                [45.3792874, -122.5773134],
                {}
            ).addTo(map_65ecdddf222d41f99efe01b3fec388bf);
        
    
            var icon_bc2692ffc0794e2d8e71c31c6fdb7aa7 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}
            );
            marker_7ec1f06b59ed416f96391d97d22fa88f.setIcon(icon_bc2692ffc0794e2d8e71c31c6fdb7aa7);
        
    
        var popup_18cfb98e493c4ba7aa71c6ca49b4c2a1 = L.popup({"maxWidth": 250});

        
            var html_d0be70ee73b84d3e80735a7e707fff03 = $(`<div id="html_d0be70ee73b84d3e80735a7e707fff03" style="width: 100.0%; height: 100.0%;"><strong>Site No.</strong> : 14211010<br><strong>Station Name</strong> : CLACKAMAS RIVER NEAR OREGON CITY, OR<br><strong>Coordinate</strong> : (45.3792874, -122.5773134)<br><strong>Altitude</strong> : 0.0 ft above NAVD88<br><strong>HUC8</strong> : 17090011<br><strong>Drainage Area</strong> : 940 square miles<br><strong>Contributing Drainage Area</strong> :  square miles<br><strong>Begin date</strong> : 2001-06-01 00:00:00<br><strong>End data</strong> : 2020-09-03 00:00:00<br><strong>HCDN 2009</strong> : False</div>`)[0];
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        marker_7ec1f06b59ed416f96391d97d22fa88f.bindPopup(popup_18cfb98e493c4ba7aa71c6ca49b4c2a1)
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        function geo_json_edb975d91ca943ecb9552da38602b8fa_styler(feature) {
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        var geo_json_edb975d91ca943ecb9552da38602b8fa = L.geoJson(null, {
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        function geo_json_edb975d91ca943ecb9552da38602b8fa_add (data) {
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     "execution_count": 51,
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   "metadata": {},
   "source": [
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   ]
  },
  {
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   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "nwis = hd.NWIS()"
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   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
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       "      <td>1973-08-31</td>\n",
       "      <td>1918</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>USGS</td>\n",
       "      <td>14097500</td>\n",
       "      <td>CLEAR CREEK NEAR GOVERNMENT CAMP,OREG.</td>\n",
       "      <td>ST</td>\n",
       "      <td>45.172062</td>\n",
       "      <td>-121.684520</td>\n",
       "      <td>U</td>\n",
       "      <td>NAD83</td>\n",
       "      <td>3450.94</td>\n",
       "      <td>0.1</td>\n",
       "      <td>...</td>\n",
       "      <td>113447</td>\n",
       "      <td></td>\n",
       "      <td>wat</td>\n",
       "      <td></td>\n",
       "      <td>1645423</td>\n",
       "      <td>0</td>\n",
       "      <td>1946-10-01</td>\n",
       "      <td>1953-09-29</td>\n",
       "      <td>2556</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>USGS</td>\n",
       "      <td>14130000</td>\n",
       "      <td>LOST CREEK NR BRIGHTWOOD, OREG.</td>\n",
       "      <td>ST</td>\n",
       "      <td>45.374841</td>\n",
       "      <td>-121.884524</td>\n",
       "      <td>U</td>\n",
       "      <td>NAD83</td>\n",
       "      <td>1800.00</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>113493</td>\n",
       "      <td></td>\n",
       "      <td>wat</td>\n",
       "      <td></td>\n",
       "      <td>1645423</td>\n",
       "      <td>0</td>\n",
       "      <td>1913-10-01</td>\n",
       "      <td>1918-09-29</td>\n",
       "      <td>1825</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>USGS</td>\n",
       "      <td>14131000</td>\n",
       "      <td>LITLE ZIGZAG R TWIN BRDGS RHODODENDRON OREG.</td>\n",
       "      <td>ST</td>\n",
       "      <td>45.313730</td>\n",
       "      <td>-121.809523</td>\n",
       "      <td>U</td>\n",
       "      <td>NAD83</td>\n",
       "      <td>2905.16</td>\n",
       "      <td>0.1</td>\n",
       "      <td>...</td>\n",
       "      <td>113494</td>\n",
       "      <td></td>\n",
       "      <td>wat</td>\n",
       "      <td></td>\n",
       "      <td>1645423</td>\n",
       "      <td>0</td>\n",
       "      <td>1926-04-01</td>\n",
       "      <td>1936-09-29</td>\n",
       "      <td>3835</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>USGS</td>\n",
       "      <td>14131500</td>\n",
       "      <td>ZIGZAG RIVER AT RHODODENDRON, OREG.</td>\n",
       "      <td>ST</td>\n",
       "      <td>45.327619</td>\n",
       "      <td>-121.909524</td>\n",
       "      <td>U</td>\n",
       "      <td>NAD83</td>\n",
       "      <td>1640.00</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>113496</td>\n",
       "      <td></td>\n",
       "      <td>wat</td>\n",
       "      <td></td>\n",
       "      <td>1645423</td>\n",
       "      <td>0</td>\n",
       "      <td>1920-01-01</td>\n",
       "      <td>1930-09-29</td>\n",
       "      <td>2053</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  agency_cd   site_no                                     station_nm  \\\n",
       "0      USGS  14097400  CLEAR CREEK BL CLEAR LAKE, NR GOVT CAMP,OREG.   \n",
       "1      USGS  14097500         CLEAR CREEK NEAR GOVERNMENT CAMP,OREG.   \n",
       "2      USGS  14130000                LOST CREEK NR BRIGHTWOOD, OREG.   \n",
       "3      USGS  14131000   LITLE ZIGZAG R TWIN BRDGS RHODODENDRON OREG.   \n",
       "5      USGS  14131500            ZIGZAG RIVER AT RHODODENDRON, OREG.   \n",
       "\n",
       "  site_tp_cd  dec_lat_va  dec_long_va coord_acy_cd dec_coord_datum_cd  \\\n",
       "0         ST   45.176229  -121.694242            U              NAD83   \n",
       "1         ST   45.172062  -121.684520            U              NAD83   \n",
       "2         ST   45.374841  -121.884524            U              NAD83   \n",
       "3         ST   45.313730  -121.809523            U              NAD83   \n",
       "5         ST   45.327619  -121.909524            U              NAD83   \n",
       "\n",
       "    alt_va alt_acy_va  ...   ts_id loc_web_ds medium_grp_cd parm_grp_cd  \\\n",
       "0  3477.64        0.1  ...  113446                      wat               \n",
       "1  3450.94        0.1  ...  113447                      wat               \n",
       "2  1800.00         20  ...  113493                      wat               \n",
       "3  2905.16        0.1  ...  113494                      wat               \n",
       "5  1640.00         20  ...  113496                      wat               \n",
       "\n",
       "    srs_id access_cd begin_date   end_date count_nu hcdn_2009  \n",
       "0  1645423         0 1968-06-01 1973-08-31     1918     False  \n",
       "1  1645423         0 1946-10-01 1953-09-29     2556     False  \n",
       "2  1645423         0 1913-10-01 1918-09-29     1825     False  \n",
       "3  1645423         0 1926-04-01 1936-09-29     3835     False  \n",
       "5  1645423         0 1920-01-01 1930-09-29     2053     False  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb_stations_info_df = nwis.get_info(nwis.query_bybox(tuple(sb_bbox.total_bounds)))\n",
    "sb_stations_info_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get station data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "nearestoutlet_sitecode = '14211010'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `mmd=True`, `nwis.get_streamflow` converts cms (cubic meters / second) to mmd (mm/day) based on the contributing drainage area of the station."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "nwis_q_daily_ts = nwis.get_streamflow([nearestoutlet_sitecode], dates=(date_start, date_end), mmd=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>USGS-14211010</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dateTime</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>3.978013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-02</th>\n",
       "      <td>3.747549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-03</th>\n",
       "      <td>4.008074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-04</th>\n",
       "      <td>4.679426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-05</th>\n",
       "      <td>5.310698</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            USGS-14211010\n",
       "dateTime                 \n",
       "2008-01-01       3.978013\n",
       "2008-01-02       3.747549\n",
       "2008-01-03       4.008074\n",
       "2008-01-04       4.679426\n",
       "2008-01-05       5.310698"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nwis_q_daily_ts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resample to daily and tweak it so it's consistent with the other watershed-scale time series. \n",
    "\n",
    "NOTE: how to input nearestoutlet_sitecode as a variable below (instead of column site name directly)??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>disch</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dateTime</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-01-31</th>\n",
       "      <td>153.008225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-02-29</th>\n",
       "      <td>110.803206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-03-31</th>\n",
       "      <td>139.330672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-04-30</th>\n",
       "      <td>108.979532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-05-31</th>\n",
       "      <td>238.139717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>24.761881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-30</th>\n",
       "      <td>24.334019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-31</th>\n",
       "      <td>28.566545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-30</th>\n",
       "      <td>53.184136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>130.092062</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>132 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 disch\n",
       "dateTime              \n",
       "2008-01-31  153.008225\n",
       "2008-02-29  110.803206\n",
       "2008-03-31  139.330672\n",
       "2008-04-30  108.979532\n",
       "2008-05-31  238.139717\n",
       "...                ...\n",
       "2018-08-31   24.761881\n",
       "2018-09-30   24.334019\n",
       "2018-10-31   28.566545\n",
       "2018-11-30   53.184136\n",
       "2018-12-31  130.092062\n",
       "\n",
       "[132 rows x 1 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nwis_q_ts_df = nwis_q_daily_ts.resample('1M').sum()\n",
    "# nwis_q_ts_df.index = nwis_q_ts_df.index.month\n",
    "# nwis_q_ts_df.index.name = 'month'\n",
    "nwis_q_ts_df.rename(columns={'USGS-14211010': 'disch'}, inplace=True)\n",
    "\n",
    "nwis_q_ts_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Groundwater level from USGS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import GW data generated by [GWdata.ipynb](https://github.com/waterhackweek/whw2020_snowgw/blob/master/GWdata.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_gw = pd.read_csv(\"data/ORgw.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_gw.rename(columns={'116034_72019_00003': 'gw'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "agency_cd                 object\n",
       "site_no                    int64\n",
       "datetime                  object\n",
       "gw                       float64\n",
       "116034_72019_00003_cd     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb_gw.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>agency_cd</th>\n",
       "      <th>site_no</th>\n",
       "      <th>datetime</th>\n",
       "      <th>gw</th>\n",
       "      <th>116034_72019_00003_cd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>USGS</td>\n",
       "      <td>452033122195901</td>\n",
       "      <td>2001-09-07</td>\n",
       "      <td>63.97</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>USGS</td>\n",
       "      <td>452033122195901</td>\n",
       "      <td>2001-09-08</td>\n",
       "      <td>63.84</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>USGS</td>\n",
       "      <td>452033122195901</td>\n",
       "      <td>2001-09-09</td>\n",
       "      <td>63.70</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>USGS</td>\n",
       "      <td>452033122195901</td>\n",
       "      <td>2001-09-10</td>\n",
       "      <td>63.85</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>USGS</td>\n",
       "      <td>452033122195901</td>\n",
       "      <td>2001-09-11</td>\n",
       "      <td>63.95</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  agency_cd          site_no    datetime     gw 116034_72019_00003_cd\n",
       "0      USGS  452033122195901  2001-09-07  63.97                     A\n",
       "1      USGS  452033122195901  2001-09-08  63.84                     A\n",
       "2      USGS  452033122195901  2001-09-09  63.70                     A\n",
       "3      USGS  452033122195901  2001-09-10  63.85                     A\n",
       "4      USGS  452033122195901  2001-09-11  63.95                     A"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb_gw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_gw['datetime'] =  pd.to_datetime(sb_gw['datetime'], format='%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_gw=sb_gw.set_index(sb_gw.datetime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_gw=sb_gw.loc[slice(date_start,date_end)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aggregate to monthly (mean) and label units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_gw_ts_df = sb_gw.resample('1M').mean()\n",
    "#sb_gw_ts_df.index = sb_gw_ts_df.index.month\n",
    "#sb_gw_ts_df.index.name = 'month'\n",
    "sb_gw_ts_df = sb_gw_ts_df[['gw']]\n",
    "\n",
    "sb_gw_ts_df.attrs['long_name'] = 'monthly mean water level - depth below surface'\n",
    "sb_gw_ts_df.attrs['units'] = 'feet'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SWE from SNOTEL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import SWE from csv generated by [BuildBD.ipynb](https://github.com/waterhackweek/whw2020_snowgw/blob/master/BuildDB.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>code</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>name</th>\n",
       "      <th>elevation_m</th>\n",
       "      <th>geometry</th>\n",
       "      <th>huc12</th>\n",
       "      <th>huc10</th>\n",
       "      <th>huc8</th>\n",
       "      <th>huc6</th>\n",
       "      <th>huc4</th>\n",
       "      <th>huc2</th>\n",
       "      <th>dem_elev</th>\n",
       "      <th>slope</th>\n",
       "      <th>aspect</th>\n",
       "      <th>pr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>302_OR_SNTL</td>\n",
       "      <td>-117.192581</td>\n",
       "      <td>45.213280</td>\n",
       "      <td>Aneroid Lake #2</td>\n",
       "      <td>2255.520020</td>\n",
       "      <td>POINT (-117.1925811767578 45.21327972412109)</td>\n",
       "      <td>170601050101</td>\n",
       "      <td>1706010501</td>\n",
       "      <td>17060105</td>\n",
       "      <td>170601</td>\n",
       "      <td>1706</td>\n",
       "      <td>17</td>\n",
       "      <td>2256</td>\n",
       "      <td>89.991560</td>\n",
       "      <td>263.659820</td>\n",
       "      <td>3.310440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1000_OR_SNTL</td>\n",
       "      <td>-122.165176</td>\n",
       "      <td>42.870071</td>\n",
       "      <td>Annie Springs</td>\n",
       "      <td>1831.848022</td>\n",
       "      <td>POINT (-122.1651763916016 42.87007141113281)</td>\n",
       "      <td>180102030101</td>\n",
       "      <td>1801020301</td>\n",
       "      <td>18010203</td>\n",
       "      <td>180102</td>\n",
       "      <td>1801</td>\n",
       "      <td>18</td>\n",
       "      <td>1835</td>\n",
       "      <td>89.995480</td>\n",
       "      <td>186.788970</td>\n",
       "      <td>6.601648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>304_OR_SNTL</td>\n",
       "      <td>-119.253922</td>\n",
       "      <td>45.190849</td>\n",
       "      <td>Arbuckle Mtn</td>\n",
       "      <td>1758.696045</td>\n",
       "      <td>POINT (-119.2539215087891 45.19084930419922)</td>\n",
       "      <td>170702020604</td>\n",
       "      <td>1707020206</td>\n",
       "      <td>17070202</td>\n",
       "      <td>170702</td>\n",
       "      <td>1707</td>\n",
       "      <td>17</td>\n",
       "      <td>1770</td>\n",
       "      <td>89.975845</td>\n",
       "      <td>18.434948</td>\n",
       "      <td>1.412088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1166_OR_SNTL</td>\n",
       "      <td>-122.093803</td>\n",
       "      <td>44.325298</td>\n",
       "      <td>Bear Grass</td>\n",
       "      <td>1438.656006</td>\n",
       "      <td>POINT (-122.0938034057617 44.32529830932617)</td>\n",
       "      <td>170900040203</td>\n",
       "      <td>1709000402</td>\n",
       "      <td>17090004</td>\n",
       "      <td>170900</td>\n",
       "      <td>1709</td>\n",
       "      <td>17</td>\n",
       "      <td>1444</td>\n",
       "      <td>89.996216</td>\n",
       "      <td>103.760790</td>\n",
       "      <td>6.565934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>324_ID_SNTL</td>\n",
       "      <td>-116.980972</td>\n",
       "      <td>44.605331</td>\n",
       "      <td>Bear Saddle</td>\n",
       "      <td>1883.663940</td>\n",
       "      <td>POINT (-116.9809722900391 44.60533142089844)</td>\n",
       "      <td>170501241001</td>\n",
       "      <td>1705012410</td>\n",
       "      <td>17050124</td>\n",
       "      <td>170501</td>\n",
       "      <td>1705</td>\n",
       "      <td>17</td>\n",
       "      <td>1882</td>\n",
       "      <td>89.995110</td>\n",
       "      <td>189.582950</td>\n",
       "      <td>3.395604</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0          code   longitude   latitude             name  \\\n",
       "0           0   302_OR_SNTL -117.192581  45.213280  Aneroid Lake #2   \n",
       "1           1  1000_OR_SNTL -122.165176  42.870071    Annie Springs   \n",
       "2           2   304_OR_SNTL -119.253922  45.190849     Arbuckle Mtn   \n",
       "3           3  1166_OR_SNTL -122.093803  44.325298       Bear Grass   \n",
       "4           4   324_ID_SNTL -116.980972  44.605331      Bear Saddle   \n",
       "\n",
       "   elevation_m                                      geometry         huc12  \\\n",
       "0  2255.520020  POINT (-117.1925811767578 45.21327972412109)  170601050101   \n",
       "1  1831.848022  POINT (-122.1651763916016 42.87007141113281)  180102030101   \n",
       "2  1758.696045  POINT (-119.2539215087891 45.19084930419922)  170702020604   \n",
       "3  1438.656006  POINT (-122.0938034057617 44.32529830932617)  170900040203   \n",
       "4  1883.663940  POINT (-116.9809722900391 44.60533142089844)  170501241001   \n",
       "\n",
       "        huc10      huc8    huc6  huc4 huc2  dem_elev      slope      aspect  \\\n",
       "0  1706010501  17060105  170601  1706   17      2256  89.991560  263.659820   \n",
       "1  1801020301  18010203  180102  1801   18      1835  89.995480  186.788970   \n",
       "2  1707020206  17070202  170702  1707   17      1770  89.975845   18.434948   \n",
       "3  1709000402  17090004  170900  1709   17      1444  89.996216  103.760790   \n",
       "4  1705012410  17050124  170501  1705   17      1882  89.995110  189.582950   \n",
       "\n",
       "         pr  \n",
       "0  3.310440  \n",
       "1  6.601648  \n",
       "2  1.412088  \n",
       "3  6.565934  \n",
       "4  3.395604  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "snow_stn = pd.read_csv(\"data/OR_DB.csv\",dtype={'huc2':object,'huc4':object,'huc6':object,\n",
    "                                               'huc8':object,'huc10':object,'huc12':object})\n",
    "snow_stn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>code</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>name</th>\n",
       "      <th>elevation_m</th>\n",
       "      <th>geometry</th>\n",
       "      <th>huc12</th>\n",
       "      <th>huc10</th>\n",
       "      <th>huc8</th>\n",
       "      <th>huc6</th>\n",
       "      <th>huc4</th>\n",
       "      <th>huc2</th>\n",
       "      <th>dem_elev</th>\n",
       "      <th>slope</th>\n",
       "      <th>aspect</th>\n",
       "      <th>pr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16</td>\n",
       "      <td>398_OR_SNTL</td>\n",
       "      <td>-121.754433</td>\n",
       "      <td>45.096581</td>\n",
       "      <td>Clackamas Lake</td>\n",
       "      <td>1036.319946</td>\n",
       "      <td>POINT (-121.75443 45.09658)</td>\n",
       "      <td>170900110301</td>\n",
       "      <td>1709001103</td>\n",
       "      <td>17090011</td>\n",
       "      <td>170900</td>\n",
       "      <td>1709</td>\n",
       "      <td>17</td>\n",
       "      <td>1056</td>\n",
       "      <td>89.99585</td>\n",
       "      <td>55.619656</td>\n",
       "      <td>2.489011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>70</td>\n",
       "      <td>687_OR_SNTL</td>\n",
       "      <td>-121.932518</td>\n",
       "      <td>45.041481</td>\n",
       "      <td>Peavine Ridge</td>\n",
       "      <td>1042.416016</td>\n",
       "      <td>POINT (-121.93252 45.04148)</td>\n",
       "      <td>170900110306</td>\n",
       "      <td>1709001103</td>\n",
       "      <td>17090011</td>\n",
       "      <td>170900</td>\n",
       "      <td>1709</td>\n",
       "      <td>17</td>\n",
       "      <td>1058</td>\n",
       "      <td>89.97413</td>\n",
       "      <td>298.300750</td>\n",
       "      <td>2.653846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0         code   longitude   latitude            name  \\\n",
       "0          16  398_OR_SNTL -121.754433  45.096581  Clackamas Lake   \n",
       "1          70  687_OR_SNTL -121.932518  45.041481   Peavine Ridge   \n",
       "\n",
       "   elevation_m                     geometry         huc12       huc10  \\\n",
       "0  1036.319946  POINT (-121.75443 45.09658)  170900110301  1709001103   \n",
       "1  1042.416016  POINT (-121.93252 45.04148)  170900110306  1709001103   \n",
       "\n",
       "       huc8    huc6  huc4 huc2  dem_elev     slope      aspect        pr  \n",
       "0  17090011  170900  1709   17      1056  89.99585   55.619656  2.489011  \n",
       "1  17090011  170900  1709   17      1058  89.97413  298.300750  2.653846  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from shapely.geometry import Point\n",
    "stn=snow_stn[snow_stn.huc8 == sb_huc08code]\n",
    "stn=stn.reset_index(drop=True)\n",
    "stn = gpd.GeoDataFrame(stn, crs=\"EPSG:4326\", \n",
    "                       geometry=[Point(xy) for xy in zip(stn.longitude, stn.latitude)])\n",
    "stn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ulmo\n",
    "wsdlurl = \"http://hydroportal.cuahsi.org/Snotel/cuahsi_1_1.asmx?WSDL\"\n",
    "\n",
    "def fetch(sitecode, variablecode, start_date, end_date):\n",
    "    print(sitecode, variablecode, start_date, end_date)\n",
    "    values_df = None\n",
    "    try:\n",
    "        #Request data from the server\n",
    "        site_values = ulmo.cuahsi.wof.get_values(\n",
    "            wsdlurl, 'SNOTEL:'+sitecode, variablecode, start=start_date, end=end_date\n",
    "        )\n",
    "        #Convert to a Pandas DataFrame   \n",
    "        values_df = pd.DataFrame.from_dict(site_values['values'])\n",
    "        #Parse the datetime values to Pandas Timestamp objects\n",
    "        values_df['datetime'] = pd.to_datetime(values_df['datetime'])\n",
    "        #Set the DataFrame index to the Timestamps\n",
    "        values_df.set_index('datetime', inplace=True)\n",
    "        #Convert values to float and replace -9999 nodata values with NaN\n",
    "        values_df['value'] = pd.to_numeric(values_df['value']).replace(-9999, np.nan)\n",
    "        #Remove any records flagged with lower quality\n",
    "        values_df = values_df[values_df['quality_control_level_code'] == '1']\n",
    "    except:\n",
    "        print(\"Unable to fetch %s\" % variablecode)\n",
    "    \n",
    "    return values_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "398_OR_SNTL SNOTEL:WTEQ_D 2008-01-01 2018-12-31\n",
      "687_OR_SNTL SNOTEL:WTEQ_D 2008-01-01 2018-12-31\n"
     ]
    }
   ],
   "source": [
    "stn_swe = pd.DataFrame(index=pd.date_range(start=date_start, end=date_end))\n",
    "for sitecode in stn.code:\n",
    "    try:\n",
    "        swe = fetch(sitecode, variablecode='SNOTEL:WTEQ_D', start_date=date_start, end_date=date_end)\n",
    "        stn_swe[sitecode] = swe.value\n",
    "    except:\n",
    "        print(sitecode, 'has no data')\n",
    "        stn_swe[sitecode] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>398_OR_SNTL</th>\n",
       "      <th>687_OR_SNTL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>8.2</td>\n",
       "      <td>12.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-02</th>\n",
       "      <td>8.2</td>\n",
       "      <td>12.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-03</th>\n",
       "      <td>8.2</td>\n",
       "      <td>12.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-04</th>\n",
       "      <td>8.1</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-05</th>\n",
       "      <td>8.3</td>\n",
       "      <td>13.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            398_OR_SNTL  687_OR_SNTL\n",
       "2008-01-01          8.2         12.8\n",
       "2008-01-02          8.2         12.8\n",
       "2008-01-03          8.2         12.9\n",
       "2008-01-04          8.1         13.0\n",
       "2008-01-05          8.3         13.3"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stn_swe.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aggregate to monthly (mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "stn_swe_ts_df = stn_swe.resample('1M').mean()\n",
    "#stn_swe_ts_df.index = stn_swe_ts_df.index.month\n",
    "#stn_swe_ts_df.index.name = 'month'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sb_ts_df = sb_ts_df.groupby(pd.Grouper(freq='M')).first()\n",
    "#sb_ts_df = sb_ts_df.interpolate(method='linear', axis=0).ffill().bfill()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Subset to a single site (either one) and label units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "stn_swe_ts_df.rename(columns={'398_OR_SNTL': 'stn_swe'}, inplace=True) # just renaming one\n",
    "stn_swe_ts_df = stn_swe_ts_df[['stn_swe']]\n",
    "\n",
    "stn_swe_ts_df.attrs['long_name'] = 'monthly mean SNOTEL SWE'\n",
    "stn_swe_ts_df.attrs['units'] = 'mm/month'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------\n",
    "\n",
    "<div class=\"alert alert-success\" style=\"font-size:100%\">\n",
    "<b style=\"font-size:120%\">Generate basin time series means using basin regions and mask (HUC10-level) </b></br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create `regionmask` regions from a GeoDataFrame\n",
    "\n",
    "<b>REGIONMASK LIMITATION:</b> <a href=\"https://github.com/mathause/regionmask/issues/151\">regionmask is hard-wired to work only with data in lat-lon coordinates!</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<regionmask.Regions>\n",
       "Name:     huc10\n",
       "\n",
       "Regions:\n",
       " 0  r0  1709001101\n",
       " 1  r1  1709001102\n",
       " 2  r2  1709001103\n",
       " 3  r3  1709001104\n",
       " 4  r4  1709001105\n",
       " 5  r5  1709001106\n",
       "\n",
       "[6 regions]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb_huc10_regions = rm.from_geopandas(\n",
    "    sb_huc10_gdf, names=\"huc10\", name=\"huc10\"\n",
    ")\n",
    "\n",
    "sb_huc10_regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb_huc10_regions.plot(label=\"name\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### HUC10 watershed time series means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_huc10_ts(regions, ds, dsvarname, crsvar=None):\n",
    "    \"\"\"\n",
    "    Use regionmask to create a gridded mask from the regions and the xarray dataset's\n",
    "    grid resolution. Copy the variable attributes from the source DataSet to the \n",
    "    output DataArray.\n",
    "    Returns a DataArray\n",
    "    \"\"\"\n",
    "    mask3d = regions.mask_3D(ds, drop=False)\n",
    "\n",
    "    # Latitude weighting for area-weighted averaging.\n",
    "    # But it's probably unnecessary for this small geographical extent of the Upper Yakima\n",
    "    weights = np.cos(np.deg2rad(ds.lat))\n",
    "    regions_ts = ds[dsvarname].weighted(mask3d * weights).mean(dim=(\"lat\", \"lon\"))\n",
    "    # Assign dataarray name, and variable long name and units to region_ts, from ds[dsvarname]\n",
    "    regions_ts.name = dsvarname\n",
    "    regions_ts.attrs['long_name'] = ds[dsvarname].attrs['long_name']\n",
    "    regions_ts.attrs['units'] = ds[dsvarname].attrs['units']\n",
    "    \n",
    "    # if present, drop crs variable b/c it's not needed anymore\n",
    "    if crsvar in ds:\n",
    "        regions_ts = regions_ts.drop_vars(crsvar)\n",
    "    \n",
    "    return regions_ts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Precipitation and SWE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "daymet_prcp_regions_ts_daily = generate_huc10_ts(sb_huc10_regions, sb_daymet_ds_prcp, 'prcp', crsvar='latitude_longitude')\n",
    "daymet_swe_regions_ts_daily = generate_huc10_ts(sb_huc10_regions, sb_daymet_ds_swe, 'swe', crsvar='latitude_longitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aggregate (sum) to monthly resolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "daymet_prcp_regions_ts = daymet_prcp_regions_ts_daily.resample(time='1M').sum()\n",
    "daymet_prcp_regions_ts.attrs['long_name'] = 'monthly total precipitation'\n",
    "daymet_prcp_regions_ts.attrs['units'] = 'mm/month'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "daymet_swe_regions_ts = daymet_swe_regions_ts_daily.resample(time='1M').mean()\n",
    "daymet_swe_regions_ts.attrs['long_name'] = 'monthly mean SWE'\n",
    "daymet_swe_regions_ts.attrs['units'] = 'mm/month' # km/m2 == mm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Evapotranspiration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssebop_et_regions_ts = generate_huc10_ts(sb_huc10_regions, sb_ssebop_et_ds, 'et', crsvar='crs')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Water storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "grace_lwe_thickness_regions_ts = generate_huc10_ts(sb_huc10_regions, sb_grace_lwe_thickness_ds, 'lwe_thickness')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert units to mm, and update units attribute accordingly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "grace_lwe_thickness_regions_ts *= 10\n",
    "grace_lwe_thickness_regions_ts.attrs['units'] = 'mm/month'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot spatial data summaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "yrange = 600 # in mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(ncols=4,figsize=(20, 4))\n",
    "daymet_prcp_regions_ts.plot(ax=ax[0], hue=\"region\")\n",
    "ax[0].set_title('Precipitation')\n",
    "ax[0].set_ylim(0, yrange)\n",
    "daymet_swe_regions_ts.plot(ax=ax[1], hue=\"region\")\n",
    "ax[1].set_title('Snow Water Equivalent')\n",
    "ax[1].set_ylim(0, yrange-500)\n",
    "ssebop_et_regions_ts.plot(ax=ax[2], hue=\"region\")\n",
    "ax[2].set_title('Evapotranspiration')\n",
    "ax[2].set_ylim(0, yrange)\n",
    "grace_lwe_thickness_regions_ts.plot(ax=ax[3], hue=\"region\")\n",
    "ax[3].set_title('Water Storage')\n",
    "ax[3].set_ylim(-200, -200 + yrange);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Whole-watershed DataFrames\n",
    "\n",
    "Generate sb-wide PPT, SWE, ET and LWE_thickness time series from HUC10-level values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_huc10_gdf['areaweight'] = sb_huc10_gdf.areasqkm.values / sb_huc10_gdf.areasqkm.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_sb_ts(da, davarname):\n",
    "    \"\"\"\n",
    "    Calculate whole-watershed time series based on area-weighted averaging of\n",
    "    HUC10-level time series, converting from DataArray to DataFrame.\n",
    "    Returns a cleaned and consistent DataFrame\n",
    "    \"\"\"\n",
    "    areawt = xr.DataArray(\n",
    "        sb_huc10_gdf.areasqkm.values / sb_huc10_gdf.areasqkm.sum(), \n",
    "        dims=('region'), \n",
    "        coords={'region': sb_huc10_gdf.index}\n",
    "    )\n",
    "    sb_ts = da.weighted(areawt).mean(dim=(\"region\"))\n",
    "    # Assign dataarray name\n",
    "    sb_ts.name = davarname\n",
    "    sb_ts_df = sb_ts.to_dataframe()\n",
    "    \n",
    "    sb_ts_df = sb_ts_df.groupby(pd.Grouper(freq='M')).first()\n",
    "    sb_ts_df = sb_ts_df.interpolate(method='linear', axis=0).ffill().bfill()\n",
    "    \n",
    "    return sb_ts_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "da = grace_lwe_thickness_regions_ts\n",
    "davarname = 'lwe_thickness'\n",
    "\n",
    "da = daymet_prcp_regions_ts\n",
    "davarname = 'swe'\n",
    "\n",
    "areawt = xr.DataArray(\n",
    "        sb_huc10_gdf.areasqkm.values / sb_huc10_gdf.areasqkm.sum(), \n",
    "        dims=('region'), \n",
    "        coords={'region': sb_huc10_gdf.index}\n",
    "    )\n",
    "sb_ts = da.weighted(areawt).mean(dim=(\"region\"))\n",
    "\n",
    "sb_ts.name = davarname\n",
    "sb_ts = sb_ts.to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_ts = sb_ts.groupby(pd.Grouper(freq='M')).first()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "sb_ts = sb_ts.interpolate(method='linear', axis=0).ffill().bfill()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Precipitation and SWE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "daymet_prcp_sb_ts_df = generate_sb_ts(daymet_prcp_regions_ts, 'prcp')\n",
    "daymet_swe_sb_ts_df = generate_sb_ts(daymet_swe_regions_ts, 'swe')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Evapotranspiration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssebop_et_sb_ts_df = generate_sb_ts(ssebop_et_regions_ts, 'et')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Water storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "grace_lwe_thickness_sb_tsdf = generate_sb_ts(grace_lwe_thickness_regions_ts, 'lwe_thickness')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------\n",
    "\n",
    "<div class=\"alert alert-success\" style=\"font-size:100%\">\n",
    "<b style=\"font-size:120%\">All-variable data frame </b></br>\n",
    "\n",
    "HUC8 basin and monthly time resolution for precip, ET, discharge, SWE (Daymet), SWE (**single SNOTEL site in basin**), GW level (**single USGS site in basin**)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prcp</th>\n",
       "      <th>et</th>\n",
       "      <th>disch</th>\n",
       "      <th>swe</th>\n",
       "      <th>stn_swe</th>\n",
       "      <th>gw</th>\n",
       "      <th>lwe_thickness</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-01-31</th>\n",
       "      <td>334.104779</td>\n",
       "      <td>4.429900</td>\n",
       "      <td>153.008225</td>\n",
       "      <td>65.746676</td>\n",
       "      <td>11.374194</td>\n",
       "      <td>63.449355</td>\n",
       "      <td>94.109638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-02-29</th>\n",
       "      <td>168.820151</td>\n",
       "      <td>6.240035</td>\n",
       "      <td>110.803206</td>\n",
       "      <td>56.775266</td>\n",
       "      <td>20.479310</td>\n",
       "      <td>63.017931</td>\n",
       "      <td>203.116605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-03-31</th>\n",
       "      <td>246.509770</td>\n",
       "      <td>18.118176</td>\n",
       "      <td>139.330672</td>\n",
       "      <td>33.609042</td>\n",
       "      <td>21.335484</td>\n",
       "      <td>62.409355</td>\n",
       "      <td>212.508135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-04-30</th>\n",
       "      <td>166.709809</td>\n",
       "      <td>29.985873</td>\n",
       "      <td>108.979532</td>\n",
       "      <td>38.354516</td>\n",
       "      <td>21.016667</td>\n",
       "      <td>61.869000</td>\n",
       "      <td>153.847237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-05-31</th>\n",
       "      <td>140.920447</td>\n",
       "      <td>58.889454</td>\n",
       "      <td>238.139717</td>\n",
       "      <td>23.159861</td>\n",
       "      <td>6.587097</td>\n",
       "      <td>61.614194</td>\n",
       "      <td>97.514347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>9.327344</td>\n",
       "      <td>88.816246</td>\n",
       "      <td>24.761881</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>62.231290</td>\n",
       "      <td>-166.694200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-30</th>\n",
       "      <td>29.181280</td>\n",
       "      <td>50.922320</td>\n",
       "      <td>24.334019</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>62.951333</td>\n",
       "      <td>-202.496580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-31</th>\n",
       "      <td>139.451311</td>\n",
       "      <td>9.706635</td>\n",
       "      <td>28.566545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>62.861290</td>\n",
       "      <td>-238.298960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-30</th>\n",
       "      <td>197.800312</td>\n",
       "      <td>0.122301</td>\n",
       "      <td>53.184136</td>\n",
       "      <td>0.002197</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>63.091000</td>\n",
       "      <td>-252.227503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>299.540891</td>\n",
       "      <td>0.143662</td>\n",
       "      <td>130.092062</td>\n",
       "      <td>0.462585</td>\n",
       "      <td>1.274194</td>\n",
       "      <td>63.573871</td>\n",
       "      <td>-116.134080</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>132 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  prcp         et       disch        swe    stn_swe  \\\n",
       "time                                                                  \n",
       "2008-01-31  334.104779   4.429900  153.008225  65.746676  11.374194   \n",
       "2008-02-29  168.820151   6.240035  110.803206  56.775266  20.479310   \n",
       "2008-03-31  246.509770  18.118176  139.330672  33.609042  21.335484   \n",
       "2008-04-30  166.709809  29.985873  108.979532  38.354516  21.016667   \n",
       "2008-05-31  140.920447  58.889454  238.139717  23.159861   6.587097   \n",
       "...                ...        ...         ...        ...        ...   \n",
       "2018-08-31    9.327344  88.816246   24.761881   0.000000   0.000000   \n",
       "2018-09-30   29.181280  50.922320   24.334019   0.000000   0.000000   \n",
       "2018-10-31  139.451311   9.706635   28.566545   0.000000   0.000000   \n",
       "2018-11-30  197.800312   0.122301   53.184136   0.002197   0.140000   \n",
       "2018-12-31  299.540891   0.143662  130.092062   0.462585   1.274194   \n",
       "\n",
       "                   gw  lwe_thickness  \n",
       "time                                  \n",
       "2008-01-31  63.449355      94.109638  \n",
       "2008-02-29  63.017931     203.116605  \n",
       "2008-03-31  62.409355     212.508135  \n",
       "2008-04-30  61.869000     153.847237  \n",
       "2008-05-31  61.614194      97.514347  \n",
       "...               ...            ...  \n",
       "2018-08-31  62.231290    -166.694200  \n",
       "2018-09-30  62.951333    -202.496580  \n",
       "2018-10-31  62.861290    -238.298960  \n",
       "2018-11-30  63.091000    -252.227503  \n",
       "2018-12-31  63.573871    -116.134080  \n",
       "\n",
       "[132 rows x 7 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_df = pd.concat([daymet_prcp_sb_ts_df, ssebop_et_sb_ts_df, nwis_q_ts_df, daymet_swe_sb_ts_df, stn_swe_ts_df, sb_gw_ts_df, grace_lwe_thickness_sb_tsdf], \n",
    "                              axis='columns')\n",
    "monthly_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly_df.to_csv(\"data/mashupdata.csv\")"
   ]
  }
 ],
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